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code > span.ss { color: #4e9a06; } /* SpecialString */
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code > span.cf { color: #204a87; font-weight: bold; } /* ControlFlow */
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code > span.an { color: #8f5902; font-weight: bold; font-style: italic; } /* Annotation */
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bauw5Alk1CKMipUfRKX0PaWUhxuBgMWz1P7g3ZnA3pxmLj1HOez7FKovbBCDTLARmybeVBDdb6wZ4413TkecJsVzxrF4QTsptwMlTJX2Vd8iz1S69M2bdm9cg%2BQds%2B2rB6mpA2mrU7r35oUHVnPdMvtWq2dMIwUBMsqLpmhP%2BDHfC0AauZvExr0UNQIL9xXUEQKwKrDtfnJZKmJgwMbno6VAxW2HHVHLXvDmcYk5sXT8tri5HYpdP0mP45HkQYqDecVFVd6aWJcj1gueLAFp0aZBZOw81cwlB7avQm4U0KeV72Ii2pkVHbimMnDImJPTJzEQut%2Fyxr%2FFWQHq4Yp02Snwm7gJJ7IYliYfcNFhTNwN14OuMeh1ldgJUbprLqAWh82ih3d6bSM3F6A5NXGhh0H9jhIJ17f%2BAzDlto9jbnkFJMZ0unSEF3oROpX6m95heNFNOxH3biaeLdboXB5Tiajfo5Oa1I%2BqI63ELQnoxXNtgcgh0g%2FBVQhdeseRbgCauhUgK6%2Fggwk14p28w3TGrCdKUjPp30V9JNUVaS65UdRrrQb0iyDrruzwQkuEmRhsw1uTPg0h0ZeyEWZpKVCaNPzWNHU1es8ubhZxMv1WsnsWZTnyZ%2FtN0QOYTq2BcrM5A%2FJkdnIMGE%2F81IKMO1y7VPTqC3HhcQkAhJJvE0B8SQ%2BejnFQO5pRioIYBqaEgwRrOCsWvt7lIybM1TXFoXA0mI1JMXHkzThSseCYv9FnGa4%2BwQiQYgBnU37nn7ycM8lvpsg0JyENAUvrQnYMbD6%2FqTvixJdP5vwUGCnHLJziZG7gocilfGXXOdO5ngetERaikxUmwLk8fUbwCcJXMgI22M9cyCQNUkX86Iy9yeDkioL3m3GDJoS9p1MAO6Aeup6VOO4AUOzLwSicckKZAjoBSfn9t%2Bcf7ivfW2nDuOA%2FbBHiXXTIF6IjelH3w46yQhcf4pDIQt2dAtyG3IXkEH3MyFTZXPketlDGe97NSJiPngqe%2BCIJVdVdVi39oI9HR2cyWJCR%2B0kT%2B0F%2FbAcleBrwFiFAJoQwEv1MOZ3RtVSmVnVbR6d%2BZ3abf7Lth79bhzKeMXc5Sn%2FmyqbIuhWXt9fHqLMnBab%2F%2FR8SHi7xjU2mT%2FY00UI%2FI%2B%2ByahmUzdcsLbAlSQaOmVnYRfJ2SaP%2B83XvC3%2Bhn2MZLEuDzK5DhguFZJ65rSISgoPiIkdyJSqmHibQvlpxVTWZ2bbbhkQuYrmzhp0wjDWSymnR8WzpcePTukIZOKauQ720iZatkuJ5hZDUCYZaTxsP9Rxo4fugEVWDjogmQ74MttI5MD7j58MmntLc59Ebtkms72xw163s9UqVRfCrVbjRkdx%2FPHEej9FqMYn7ec2tJ%2Fw6YTXA4Tr064m7zdPNdb0cM9Q4Mh4tHBD5OzjSnxn3R8jYn3GrLZZpWI2TJj3bBfHrb0IJcf1UFY%2BGXMkV%2FlKv9%2FkpUY4y7nDW7LPLvZmEmeLd2ocbY4bgA3WA0%2F0zj16A4OilKDkSzW7pZ%2Fz7ab9nVs9LsDCwk0iIPtksoszxf5Tx6Z2xpIidcb8sovUywtD1GXBgmaUDWrrgTbBTGR77i0dq1pghsidMLGyt1BTYgeRcMTts%2BPZ1Bc7VUYEy9YLrn0pAgQstb4WpHHM6CUaJVErBi8k4G2ykIMWeI0mAnYa6jQqWfC2gg%2FiN6wG6fzw%2Bza0ks3jq%2Bmw4kVExzVAMIPGGxjyDq2C3KCUjRnsZwV2uxkULPcDhII6LBHAtHwX%2BQL5KUBZ0GhE9Gj2BZyEAmq1Z%2B39bWoOUKP%2BhYN%2FnQL0M3kpgCUBoIzqWgARwUN3gDqviPBPhKhcASSjCkFP1Cq9WD5Znexmt19RVDyVTKVTk6g6agt105iO7j08IL%2FcmpIkM4%2Bj4qjEfSk%2FDYj1UMB%2Frc6OfpPfvW%2FReu%2BH3%2FtW1F8LJNlDzwXIpvbGyuqO7ZS1NfTbYb5ynez22mCjDJv5jLNJgu%2BsP9j%2FugzV5ojDas3ldcg0DUbaJpPgwXzTCAVDxsPvLLI9jO9oyrvlyOdwXiTFsniREhVaDDfW%2BIfl2RkDC6yz9cH3%2FOMPuX%2B%2BuOTK43RBs%2F6O6VHgoHDqrdJuuov2i6LRFt1OCmHJelwoy602ykor%2FGe7iPu4k3dgxMaZOHhYOPFY6BiY4ZMGABERk5GYTUotVRoVvWQj2JiYZbFIZ%2BVRo1KVapOfXnCoRvMstdAiay1W1pzZOaedcdZ1J9wgtES9uqcYPMEu%2F%2FjXTq2U8VQIMICKWjb0M9Qb3iuZqPex%2F2uW%2BSH5cYA2XKY7A5e4TQEevM3ij8GSD5h9jN68K38pfvsievbJiXfGy9%2F9pJRq%2FYbNksMQzyXxuS%2FzR5N2Kt9nsn6J%2BUi6XIHhe8O8CefkGgdkU1wkWwQk3xHEh1NTQl9Gkh4McKS547DaD8OoDlV6S4qtoa3yOGDHlSFWI%2BKsSbnKCoJxVQzzpnM5zD%2BPZkLZ%2BnE8q6N6bDCz1gQgSVF0GQLpSd8lqoO9sdUIpJT6EO7ypNRiKbUq%2FbBjShThWKEYd%2BX7WR62IjbeYGbJLi4i2CkkLGGGcLtZ5h%2FzMh2kguJsDBVsB4rSeSsDGRWxvYl7yjD73tQcHcsfagrEXc4XU%2FbcxVepcMtoUo0MpllAUv%2FLaGrtFmNR7Tvvg6xrQJV%2BvE2ghTRTlp6k9fdN5c8iQ3RRQl3WqlCHdgPb1xG9kzxlYx9lCt2BaWCGPfDqBpIsmAl0fmBr0T2x%2B3Xq2jli5kIr%2B%2BGXCmh%2FP7BAc74NLH3iUNe%2B1VaoQp2rajTrY8OFF%2BX7s6Vsv4K%2BG5bOtc8kbjkA6GC8xz7loGzLUy%2B1hYPnEDQ1E104pyRF%2FKHTjN%2B%2FjN91dnzm9hGS44PUdSayqlwFNNk049rSg1lABkpZ1bwxTPvNi2hTeieJuYuiINbeJCyxaRULxkOcthl3Yz7RLEk0EMwmZC2Oc0%2BQG4qT7IUxZ0Epx%2B28M5%2B4JVLgqCgB2YUnoFhbQumYFSf7zj0wBYSSBgVLJ4IzKotaNscjNmrNOyjx0rBJTgk%2BkxbGPkRb2wowVJWIlq7A6UAhlaaYwxKinld3soepEVqYuuGB2tTUxrUOAmcfNXtR4FHH3JcHzwHaEFAH6Dx%2BumGu95lcfGa9RIVrnWbxzxiAiTC3uz8QlkxbcCiFbTAKJF6O2oRrQ9OubQ0kXvYKxKi3aqBOCD2ar1FzxB3gtuPMyIA%2BsG6lNWu2T3jUJyrUK0BBYXwVb8TmefVtot4WlGW%2FcL7RPDE1mhZCdMnctR0hi%2FcNhf6l5jF7Jj2RCgpIYB8xT9scExdSFAEGSWwASBKANQMtixelGwxSggggyQCAkS%2FDi4oNBilRBJCUAKAkQZGTL24dt4fzVxwI3ldJk8X%2FFQX9L2H%2Babn1L53R%2F2%2B%2Figs8%2B64j6I78uQmazSAOlkDgGKiXO94lyxGBLoVxlRWy8sknb1to0HihsKLZMHiuZJkFz5YLL5Hz6cjhkqN0LkskEXhRlnG%2Bh%2BWxl7HNMB214WVp%2BUkhoNMS6ZZ1r6Skoi2m3BJagbvGXV4qfLf5oXM1aq1NrZVpbT4%2FjLetLYOoycSDt2FdzVovV2qkMqvVoAVGRZJwFvTgq1UodsfHlH%2Be592pnabhFsf4tGhLsbqZJcC0MKBx%2B7ri5NWPJwuGkzYN04fDz%2FhQ0xi7uBhmDrq4vSacWV2tykAjC1PYxEaHxlWTmMpVQ8UNLqe0Fs7meCPcTT5MLp9O%2B402uj5YDuDyY7OcH8JW1s5S3NrQHt%2BorxRobSuAvlC5WXy5zJXo3MRvpqtVgZCUqml0ZItFEVf3rU3Do4OS4ayvggV7i%2Bjo5U9UpsbNSur97MzQlrMZp%2FH4zmXO0nALgWC1IMwKiCbCSbF%2BUVz%2FXl5REMc8Sp7lxIG91r7ZmM9unRzKqY4wcWRgIuc0BzvBbtecsDOwWb%2Ft6AlyxCgbMo4mLKM4pACafyk7op1EMmi1II1MgiGdFyxk058xyHY%2BDabKsPpXv7f%2Bp8JeBsu005mRo%2BG6786Y7oznsISdLv66H1TGEsDxOhMeTV%2FzYh2p7%2FbUZQNwvRzNOQiWaoHSfvGYMYCUeeFwHwkaM95z%2BQRmKURKr2pKt5FGQffbz3Fj73SujR1nk9Noq9GwDfBp0gjK4JQqe1AGATKNiLC3ofJ2O8nCuaFt41g4o6NGeghYErJMTRcMBFLcNblYLHOavWANlJ9Od75izBm0GJ0AATZE4srX0JvkvuI%2BQk5%2FEglZ0E6DpCXIZGFLNtnwr284w0KCs6bykCXu6aWg0X4JJt8RYQGFQvHTIy5XqOocl7XBBwyTzTJVDd7JSsRGThdG3b2EPajZPpjNHlDlv%2BaHyE5e5YVTElQI%2FD24K7DwFmb8d%2FNiVEyBfFcsD5ja7bILO532SWlLlTQpuCdFRIEovOss9BNCG%2F83NEH%2FF9Jm9a3vYk5zxHcb2tGkpazXW%2BWsRjH52azpQ0AuLjnDM970EpLThdmt73QOtfGV%2FDleUNzmkpfSRg%2B5bysbmQdl8FRlYHYjxu0WQJNmvPuzw40CJ4i0%2FrCLLo891Hu%2BEPVxpAts3rlmkGnh5Ji6%2BwUyGTKbXYgS0IFWaPBgcHmB6t%2Flide4u53LYcGVDjP3OeYajcWcCTnI%2FLNkAxrj0TD3BtkYOmpRdVYiSD4LJYaV1q88W6G2DpPcZP6rjJXdI6MatfzUupbGuaFGonEoDuFBvMIjKS29CUK5czKa9YHoNiX9grPKnJoTVbVzd73ss5cvLNrLP5rgScRc1mnHx7EHX5Ngd8ZesjKTjmtLByvBWemk90Qt8AMyfRfxJo2fZ4ifwHXjZUmMIW1qoZ41gH1aujta4Y3t29LLP9BMFtjZj8Yo1V7WuQoVpsJF7puUtnrs8ltllLZyzqqsNLr08uhPAX0K6Lo4OW6if%2FxpyBlzGufrvGIhDcG9ffl1og4xOVsIm8kwlFvhzZci7PhzxVt1HTdjWRqFitom2eJLgWv89Qi945b963VNnut586yFujJSducactK1%2B9tLG%2BfqvkKfuSoMnRZHCLCrgfuG6yMPBJ5gUlErIAJ6P%2B4QBjHAIkz7e2%2FqMcQBW9Q5N0pj7ngelxOq4DpcZAQDJSmQmj%2BPaTqdf9HaqEgrmzYZobLJJBqXMlX5BCxkqcveIyWQvQ8PZDAMC5uEPC4UJO%2BMSB0rUMkBCtl2O5fNjjrLV8rgQ3sesnWrOJpJTfddoRRw7DsKYL9kLzL8rbxLJjWibXJqgZFFLlctH2EDI8gQ3MVX%2FU%2BDx6tUOkwk08kRNqgAn7KV2ZUzzQFkaVgtp059aAmWuJ9oT0nd34z%2B%2BCUbU8vee7yFZk7EE9uqizMnqOOHGOWW%2BxK2vUdBe45A2N3GAzbEJCKSR7ILCP9topJMHHJA%2FHhz8E9OJ2aR0lUlGWKrf5Q02cXcZYIJIx4SKu69%2BIqCVnemuf92XHOinm8Sh5lEPiDXkPfiFA5fjSdHuVfMsSxRVwxTTkXR1jcur36023pbRUnzGNC2aLGqmledUMT5P0m71Zh%2Bq1GcDD6w79ji5XHodVbsoOyo5f%2BI7DQoPGng66t8%2Fx2Qba6JWMtQJAsHGVyoxwfCLFtFDZ6zyG5KDSAYFQkk4kQXK68ayTvcRjFrKyX65kPZfjPpbkq1QroevIJCOuaHHVi6ot8EAfAlnswNBIWI9NOkNn4qpC7xJhyScUsGNgj%2Fz18oCTlETyzRaHwgwY%2FtatSHuPHQLrA9jH8IO3b5y4ewgjeopoRBTZF4yt6HRXS0XKep%2F6M2WMFNKkdR%2FfK7AloYsWAgKK7LEAl9hrP9PYQg6mtHNsi%2BxPWrak9W22qLofynxpAgUAgMRnmxbCYYQaYrgmFBdAyIYMM4qljKY6mIhdAHJwxe9PEbvHXQ99B18sMPem2S2odLSd90xIfS1owccmDRkDmIOTuFf9T60NZvU2iG2yDzLy%2FG5wWtzT5yKCjgiFK2OC3zYnbWiR%2F9ETuZ3EfiKPAoCxtTcsxT4ZQg%2FxqKH4HQwqls%2BL7trzGTIfaI6fcV0AdsyCGhkLzUVPnCe79zPLbpcQAkRVCpTw61KJFBKdos8leHe%2BHkjoYli0%2FuBUjFdHACEeJiXiU98A7lCtts3kja8Jccjjnk370I%2BUXsCM4Hbr53ZLfm3H7TTTdXHtPVyZWvdLNz0ttNeXKVK4M0qf6UU9gDcicy3s50L%2Bi6GRTCbdklxkKWh3R9CuEaA5aXjTC0xQ%2Bxjcbbt3EoCGAKW9PBq0NLAX0I9FjW1ZAWrAXWI%2F9U6NOsR7pYYBi2IEmBZedPtuUZFdskwsTkvX0Pdi87D43ebyi8as8JgexPLInixwJxZR9Yoq1IQkx62JKc34Mex8BkpY0M9BeQgp4G2t4oY0N%2BI1r6GqpVCupgVjn1YWt%2BkKfkc6s0BM2ZCme7lv1hA5%2FVw2ozoimeQIYHh5ypp1M5tDDoWSLBjtZZ2s8WO1tKfTohCosDRdCagkHJUSYFrL3oT04LUksIejhwS2y2uy%2BM912kV9NSkZEhYggICf%2BBX%2FPKc6ecxHL%2FTKfLAPnOK7fydz%2B6rggXrkbr0bhoID85cqd5xIiedYlNMqIz6ppYRWT%2Fpem3FYjxSAJQYoIzSDr7S%2BReFZQ62EDoeLbSsW2%2F2N6%2F6ibm5Un0VrbKelODgQjUqX58bauBeF%2BEsTidt0pvmkb5qTyrZqEQafpd6BFgF3fMfEyBGyctfzSg%2BLS%2B5gn5lL%2BJdOfX8d9TLFljr%2Fqz47zBryx9vwefkNz%2FND2DaMbiS1nF9nOeZJq64r3yQLzqqOK%2BHD8YYGCkL81%2B7FCjqr5pcEayj%2FYaAG4cKuSyfjmh7%2Fo3YddoY8EU7esIRcM253RiSApt%2FSWG7g6ElkORDEI%2BIf8wNZziuh8Qim6zZC1Kkp%2BBjheVk1A3i57mIpAG0y4snEIGtJfNWjQ5eyqDLgWoVMIIvc9QuAgmAJMMJJTTx7xbK7QusP85Dggaz%2BIudfKQqxnfti9vlJxWHF36%2B%2BsNRK6gpHxSKuRRs%2Fw2i%2F8nQxKS0pjkjH5Lhefpi03jGoot4UM%2FRujxSXDcrrtd81e8ZXCT%2FYHKlcGr0ZovXwbfWddImiUwKBS1rVnPloZrnw2hZTHWNAfBGg9hP2hu%2FDehXFmA%2FC49urzkT4luT%2F406HLnengoh%2BTi%2FD1l3silY7T2z6rw6p0NW9R4%2B32PXZ8dN%2BfOjI2iIEPerKgQDLNuOvQeTSu0svVDr52aAnHPB%2FAnnIsPKdsDEQLq%2FyhiPZBAJ0DZFDE%2FjCLyD4twQLl3bTVvOAtnv4HgmC%2BrRZSSnYRDgl38blAUv8hKjRq%2FpFm5iODWMjxPX1F%2FJ8vrvJCdlhI9MMFWmBDM9JmTB%2BQVkq7sxBFGYSBA5tt2ZWo2BRb3qA8el7CMRWLRIPMuTCgmkYoJRPrLSgvHliJjy2NjxsUiW1yyRezCQg04%2FkxSBGIIhzZFx6ZOTwuih%2BQDfQio14dOx6FqlwuD6KFVAvm7wHEXlSkVdv%2F%2FAsESPYFjO2llHZ6JUdPkMvfno9NiDjEhEUGkMuLJHFPW6s%2FEENI3tpRAove5RtQL%2FWpgeE7J0DRn%2F7G5FO08FG3LH4rOLze6mHWJKkGjNdcvTaHC0Q%2By41Zjz1p52SieeZDKVS4eJRMNvfYKn8RCbcWgey4LHPqgZk1mGTgCxvYbFDrJwEvH%2BM6P9oXRi0jU9yApguNl4ryBoqQTe%2BFjaPScfJ09XJHVnzfSnCEc5SocCtlJJVpWgymjEtTvrdprqBIas5gNEjko7Dl5QbgEWwlUclRorRgupWGf%2FJ9cz96PoduXxjWHft7njN6ZYhSlYaP7HfOLsBqI4ArDeLjtpU4NX2Njaj15B38HnbEL1U9fMFham53dDJkk9JsnxcM3GAWFXv%2BDwjgcS%2FsB3A7lGNPcTEj2n%2FlplWCWPbH8v9YHXk58jPVBmefkOeEifBFQlCmvqi1vGm9qS3WVSdq1BnF7bsmAJKM8G6PhhgVOYOoHpFlVpTKji1WfrBI02HL8UIqmKbl%2B0greOTc4fnTXSWn2kWzpft%2Fojuikni5pF4VhHqlHCZK0PIYjosVSIa3I6DtGWOSSWvN%2FgV9qgatUiv8Vhx1XpCh%2B147Qqk9MPRp9Hs2VFLR8y7cs2ZLMlss6koj102ffEnpOSuevF3K138qAMv6DcuxdagvlLIQ5v8LdumJ6WeNJcz40NEi7RBy7yZN%2FdU0iS2AbeavODQmxDE51lYjadUaoPa9kcJLRMjgtt0w0Ejadn2nxoKT%2B%2FlRugyW3XJqmLpeZ8zj1Sam8q1Wpar%2FM9OsjMRwRCq%2F9H6GwGOW5FLGlLcVVKsZ1LpCLalTILOHdZ4ULMaWiUpYtGAuT3KxeThokth17XIXXaah2IVulqphVU3CdhmoTsXXDSKkGr9PQnZrjDnYoXu36DqAtVe1dkH2MaqYdZWljQC7e9E4psY1WzXDiPb4kh5DY%2B7hYDw25bf7%2BxYTlTd5iSp207Yzl22cTlj%2FCc3kEt%2Btil%2FJCF4W6vcldbX5%2FanrsOckEraw6cjpXQHTYTUzwe1TyF8ZQbzqd0bF1MvWdXAvPKGUpqfhNZpWP%2FZjuSejlQVk0IKtUlmwaym9OXfOwird7TnIHYj3vcQ7WtPeqfltccmfk06jkH%2FRhDek0esfWKbSPqt8OnW14hSddSx8mTMfkLyogqgUiP2FMPSwsxCrXNlWuP9cuzyiq0OoZy5sz44dMzsXv6QHETLMGKohP1Fdz98oc80LmS%2BeHCJPZdTLBWN5ym1l5PNSNR05%2FOIkxzGsf7K2%2BXagezDN5ZAoXpl5ZJi0zktv1xQ3KzOzGFF0pcYTu7SLJmHpFblGCALvKLmZf3XV%2FZcxo6M8%2BvEdJCjLOwGePPG4PM%2FVGwMeD6nxKbVe%2FsX3HyoEuYQ%2Fj1hyBKgPzFkFD%2BbPd0RMTRV2iRTWLa0TCLkXMxJlut6brG1xfIwnt71uU9C4xkPz8JkD7hXDXtwk%2FJiRi90ZJ%2B2H%2B5TdVYaWC%2FiO2vPtb7UehiP%2Bl9rNQKj8bznz%2BciGd%2Fm1%2BOkbMz%2BlHlFqyck2cbMpmSanW7amp8f6NR4Pq8BDkDZQgrU7iT%2FLxW4JRhVaCM72%2FKgGfKg7qjcKgGnPZmuteAE8Rr2pi57pXVkdjfTpXem2nmhvLJzgOxTBG3BAg1qWr0tjZlIO0xX%2FQhguUusCKFLWiiKczs32K4OjAswDDNt5M4RHSu5lz9nduadcimbpaFapf8m04ypjs5Y%2B5JFr7X%2FgjPef9nYLH28Uf53wFaXa%2Ficznmyl%2Bqo00hH41cr9x%2FUfuXsCQ75lWlwiDjvgLDB3AnLxqypeD3vGrkZS1L56x6KtXNZLIs892hly958cWSAUp5JozI8c2kpWFEP7Bm%2BNhhTCZ%2BYX5wYPrWwlb74YacoxY%2FlcJ4SLIcbG3R8HDyuCPbG8RKOyaKzgxV7ipZEsJV%2Fs5eIsvn4DJzIHRcUs%2FNgTRgxY2DCbjZuTSYmMbnzQG0lvyuYu06Ck6bJCR1T8ctNgpWnTnjMWLGSvzLaMSi0sTJ2f1E85m%2FXzpcXfDi5Gb8ngJeodZyQpK1UTRAF1MKPvQARyLY8Q9fct2EIWyRxFhJuYkEEmnLeoIN5LM0Eh30SC5QTcIKiyQDbOaoOHnlWVGvhkJbyzJiuNbRg%2FwF9ATMrJTJpT5Rssm4N0bXqdE87frUAkEZesYIhb1fCoOTxwmsb0ZWxFF3v7eJ6rwtErVxQrwJqTVl2hhRZ4wxUb1QnKWFzblC26H4B9tDj5AdKaZWABtbWjGqU0AnH3VntO1o0u5s4uS3T4RnMiftAcdMfrPnzHhVIXAEfY6lo6MjuVG3BpBDcWi4kMdgiZgj8ARwkNhQ6kjTkdyab1IeuzrMIdAQQ0f8%2BfP6Ah0Uy4nqkwg2y0TuK8%2FlimLco%2FGLgQXAm%2FDVf4pSQvNY8YykK%2F9d5Gxd8vfIJFvys%2BxeKEKlk9nLOIlGqtUe6KrcsRSgZlWTXaKRNTMGjODT3B0B2X2XdjRCCOZiiK%2BzsLxye69Flh4VkYuoDIzLsAT5vIAE2vEj2MWPUl8buzCDqxnZItTzbQCsZRalGzKEWlbya3WQK9qTe%2B%2FFHw4jAb%2FR2aTDt9d9o5Yd2kwD2%2BJ1LBL96%2BEuW%2BxtizD1hxBDl85WflZxNrIDMBFdOEyl%2FdJHyv3euWj0%2B0T9vY%2FjdId4%2BS%2B%2FmF7OmGfl5OxE4xtIrdLOshigtrc7jaJyUQjdx402GT8nHPntUHp5YIMyi92jowXnymHM3lKVbEsu3edry6LFnyYg4JpIEUn%2FJ%2BEWlj6dtQf59MPTzMjXF4AwBamN0HO8KnMuYIE%2BnHqoudaaHb3es%2BFhWA6Y1M%2BVaVGEa7maoDOzlEJ%2FxBBEzud4BSAFMdUC%2BNRwjjqGSqtPwH0MzTqWUB9Dhl3JudbRAQi50wc8twBNIr3fWIGkCFIdALOu1sFswTOXw6teWAQY1HRI8JHg6HTCAuw3iKKZw6iwrt%2BUrPMFMKZnINf3wMIqYYd2QRJGaVUE1jOnRf9H60jyBIfQXuMOLNZy6jWQ1r0C6InONt2wx4GhVH44c18qmxfooLt1ZqKeHJFIV9rYnvlof2Cus%2B1L%2FUbffvnWUcD6dZyI5nHm7Ryqg2wst8YzKHjURLFrl3vDubQ1Z5Qe%2F7ZzwtzmDtxvUOrq0YdcPQ68R5xEY4KOWZtQh5BIndRv9LNfMaiLc4988%2BiVQQBW3PbjuFw5m26zVYLiOmYNxNeNk1rA9mCQTo0naHFuAksNt9aTte9dXh%2FI%2FXdh%2BUk0vYP90U5cv8olbr90jaN9rvwq5BPmY1m43m2gM33KZ8TqU%2B25chuJRfSCqOKhCncEr25iJuQUMDSajguSMJ2wZo8ttTUoF8fpkkea4Cbzbh63X9a0TzjRV1JvrL1AY9iKL1pVrRQB1GsfA5F22Qi3UKP30oxwfk9n6BPkp5yqFw%2B5YP53nT7V5p55nRvepWe1EiOuzkVI5U77Y7ZvNkrDZ9201%2Ffvk5wbOZtXgmt3ERQsD%2BqImasPredw%2Fb%2BSHksjMdV3aTFzT93cQV23dqobyjKksmrMeJNpeUrpEPaYKaY0JPSkTXz9E4WI%2Bo1v8He09DKs5P97pyyxDw1%2F7FQMJT5LW73lh0U2plz3SRzM69ZDG7DbqTgoHSNB95f97%2BnwTQxt2uujvIGvYeEqgzaEPip5fKECxb8oNFR5SjKnpPH4pU9ufgNSKfHmRbALBHhRcrwrJm3d7Dp%2BFvp5IjYZCr4Bc93u7OF14K1bYYgzjTnD8C9mspnVuActEycRX3FyIRk7GxNqosqYeviVh97l7CzNC2Vq8fTSFo%2Bl6ihwPEcqRvoFveZuKGvvjgmI64kWySU485n0QtuobCu2ILd2Lz1YwxRN3xfPlBxmXEpT5i3L%2BsZu93011n5lPbub%2FwfJUNZeX%2FyoVMqKkLuBjQWRn%2BpjO5TWfIEMl2pAWoEkTKOA07Iw0tAY0zdpp%2BYx5XiFK4BbXknaPpQmXqKdoMTy%2B082MRYTRaZOSK8k3cm%2B4zp9T%2Fn%2BANbszLZS37DWC5SFEsKFKcQiIUOKpFhsggYP8WBINHMNBAFHBgbv49OiL0xtNQek11hK5lZPTxYe%2B3jih8K96W8pfIVPxFgzOct4KlppzrAz53dpE9bwO5p3R3gp87w3o9XAPxx%2Fzr4aQvTv84LD12MkIV46xBfIbpP019FvW5ta4ehm1D67wajRnBvMjJbljBQGCpc%2FtIlwwqhwoTSS5hS3XNQDEadiZTkgYt2ceTFRGkasRZVUaSad5SnDiK3Ub1Zy%2FsORsWl7UNh2BCTNnaeLCRLxM%2Bs6zqFbmtYk%2Bp74G8yP6nn0n0p5OiRNpMCSZGPT8zrg0Py6QKQFrPipzzvUj67FCt%2BIH777oHbhwkhM0QvSSlS0ea95M%2FSQPTS5EIVde7PpFkwFCYc2s%2BvV8FO%2B3DrlJG5pkG184xh%2FFl8RCYCYh0ZQ7uWN3GHCTp2DWKcJ4%2Fag3K83lZ8mSZVi3%2ByxYdHT48eNmz4sPdDFYYb3DvwvqGCqpQlFqhoamz1whmJH%2BbP%2B5kwkpGjH1A%2Fim2UXiI%2BJ%2FJZMkUBR2tmVWsbWKu01R6p0lRvXsaXeTQpIhsgyyUPy9g6u0yDYkrzWBoNy%2FXtG89IzqEYeTyKMcdE4fFMFAfDZcpmnJHeXs0rePw6UuLgi8OhK%2BN5M6DLgPTyBXqERt4Q6MoYTofkDACduTCq1HLrl%2FTKRejKNE745fpIZpZPrmD7dOYCvlxeyH%2BZOGk526c1F%2FEDSEhxVpvpfL6ZXkt1ioQDDzABHr3DKJmSq9ucZT5KIE%2B1nLPs9mTa4OWcuSeuLRnscFkBT2tcisqogUI%2Bshwjbgmg%2Fjc%2Bc1BhtqKQq7WyKuH%2FBUzrBCuVT%2FR0o8Z2Hjg0UotkcEy4t9FPnwnVmwy4QoGZXk3JEIlGLETptzBqKZmOEY4CM%2B3oh9euVTyekeLagVtaQRu48RPUv8RGg0K1sOPckOrnMSgovu1DP6S0r%2BpDHeMoIwPWO7f0RDFiKDtjA5k1KV9sKufuvN6y6TgqRY4fcj%2BrYhAjJ7eRqdfBYsreRYEGwVKns99XOiliR777cjpQv6zqKfXs%2BUq6smo3y3Fhm8g%2F0watLYhf%2FhuLFWUmwaSKCgqYLZb9T9aDsM5u0i5ABgrEiGCUNyB8moX6BHNa6o5WVLLxkpNUavjKewUcNfFDvJrJwmseqIkcjob44PulLGa8%2BsPB1u0giVmPCYQnMgmJJEmopfBPmLBwEtglrVPX5WIsDeqohyPpSqhVz85CzlbHHbWxIwNlHBf5ZU19BmkZPRVZvz8HSrl55JfVdc7eqKbZmzDXoP1f4aU5XOs3fNRDd8CKD5VpKfJ8UGNh%2BqRymi%2FN7OL%2FBk2sNIKTD1Kcw6xMAeFarkbQeaARvXov80bDrKHjHvAMb4DUjFQw9UIxVZfCzPkXYhjPObFHx9UENJYX%2BjPGZaiFeVJUMau%2F2HO%2BpD%2BYxyzB%2BkXp2j3Jbr26yHQQcTHPsz92qqKcZLd2T7oI62eVAHn9Sw5LPKz%2BqGLE4V1kfVkJiVxcrieT9eXFZFJJmf4exncQgcYi7jjRxsYYbJ%2Bz3ty7Xm3k4NI9CGECIeGKs87NAf3hCBW6HCCHVjmQP2qqaOooeiiZUS9IEiQKxk0XTR8rGDuyGrHh8lwgzUJ7pvhStg8257%2F3UivVFyqFc%2BLVgDosFHsHGz3En%2FqaNvaT9%2BbGFKnxOhm0sutIGXyQ9EHzb0jG7VVHOOvyfidbcSt3cphjR6uJyoLketm58977VJYO66EYRPwNGwoXhx1Xr%2BLwjxQDxUZpYujv2t3D5sGq%2FHqwnkY8wOtXRwnH9HhdTpDZJoo3EVuBhsi5YbUc8PIWV0mV93h7bfCHRa2o9gAeGnzTEOhPR%2Bn0UJho5No8HTPifR9wRR%2FHc5%2FgcNqAI5COb3CyzWqUDHrOQ8BA3IkZTRL44WIXHSKFcSB8%2FJ9dg5oatgtrNo3ZzDt8AbwjAC38WRerPoan1HLGt89xM%2BS6zEQpTj334sS96rhFRgqnR69DclKLuMv2LckkiUgCdx4R%2Byo4LTHSihZ10g01mUnzD%2Fa1CZjqSTrUG9jP2u%2F1vf3%2BxEYH8eKlS0iUcS3YhnZ9HLuHQ4jeXP%2BGxyYWaDEMkxMa09j%2B1NaKxKuGTyFSzZXJ78WG6BIun0TjjWJMHMjT98G8xmMpezcocYqG%2Fc9dzq19am3qwbC5VV%2FtMHa66J6%2FSwmInt%2B0GxewEhSFHPh7r0rn4w2RLee7en6v%2FN9mlfDqy8i5L5TXsXVva3MTGkv%2FmWi%2BHc848OYlU1aQeP5tm10iwB9HggTsTffCtdt4yzLK0PjDM%2BZccDEwMgwaidrT%2FZ9Ljil3DcBiB5Z91hEuHYzHDPQNqJbjJPxuBRpt%2FTcQO8HMM%2B%2BAdrTx2oaShuIpJ%2BCBosBQjg%2B2FAAykuOV9gQgXSSl%2FSlIUyvzxWl2qpcCEJxpRhZAa33s6N5FoOmfEkALy0NywpZX2oiMEjNINa3KIELWRtU8u6pAoXUUZJjNnhwXDsBn5JhSaU2zZtJT3J3mPxLsm1yvjmGClvh6soZLYSmBjEMGVZbEXdo3Gf2aINXz6CwnT4elYtUGOgNJuDIJyz%2FXMzHKThdRvUP9WL079lk5Gzd%2BUcfEk3F2dcxwzemIVJ9LPrrf5KRwHV2ngScPedXipaFxIimDWTJpfwXygC9ZHccFdLhfE6g8y%2BA3Gx6e1nwhlAnlLBv7%2B483%2FyqiB1wLGdWXTn6f5R%2F4VpQ3shgaURiO0t0ZaEhe6vT2%2B0aXvQlf9xS4l%2Fx%2Bo2lPl6PXDwhb9TuJD0N7POpRgOLLGx929pjZHqz99vGHmT2eOHE9i09ZUise3RusvQwKR70Er1kr2f6j50G8uYGQHbp65KrkGc99gIDuI%2FgtyJyE4B5CcvJCTW%2FeecDYaegEXOfPcIkBsfbasKkzj6I7pDsocc3VKUPrT6GJ3UGnQoQN28JpYyRb4ghq7TOE7Oy1I9ckxM5HfRihEepsdyMiLqueZlrl3RUy2lP0j9SYxaV57LqP%2BA5Wx1np2amsqcQL9Wz3Q6%2Fy24TvExLtxxsOVHFWMOsO1HHWyQEmzKrTOPMBuXwuBTuZdTCccOaD8mvqQZ2sOkijJHqksIkFAGbWw515lUpikVRrZgKAiQnHnvL3ewZsD3YNUWG%2B3xNCcI6yCriSf%2F0oVzrP7GpBQgoPICT55SVpynumQQY4%2FC2MsjSBbAEgY6yG2PHKY3%2BHfPvoaWRJnDQ%2BExgLRRFFcWd47saH4rRpAHGRhrnETbIgsa3YIszDIdGbXDW4sQAquVkZThkDmJSGcGhcGJlxQlZNSQAKISAQPcr5jknzPSR0MYZQ%2B3eg0jkGRma1UxQu%2BwAg81%2BgaxoA%2F8yIzVhTxClim%2BCSZyu8MmVPXD98GYEcFNwXSHnllnNy1B3VbOLLI5qgoJLYGEVACi4R5Ep%2FI0LSAPlNFLi2rslic9feUcF0o7%2FdcvnL65WRijXXt0gOT9itastDKS09FaerrunP%2Fbdbn0Tturiy391OrTgWcxz92NrDw1SbEPpTXeVyqxqGC14k7somIJB3sCBkdwrYwn0yglRiDdXFjLK%2FqA0mITAQmy8152LvtSdB2QiEVm%2FDJolc2zJGKcyuzBIS44B1JTUhtkF3oo0m2xGquovw0HSZ8fVoGWIXZoiWxPdG2YSbKNlqiI4gMm5kqeZ6MPVy3m9Xy7oMfUPjW15hUt5X96cT22LcdmRqIOAPmGEDEohEYgvAEFngdjNe%2Bkdwl3%2BbBEWWcpUoShwfUokgVANrgRRclU6p0KFrRS6aEQg5LA57S7bwGLwGcUVAXykytGiUVx0OQBergaVm1K1slqwDh5U3V8fMQGGuBlQQIeQIKqXWGOUhkwBjYBpkPRRdV8lLbY6GPK0BwHgLg4c5UEFVtluItGNiBNFIR%2FHD6kBjkRZBkpBShevgKvxNcj0%2BHmYzYLiMDaPDw7FdxSUmGq1KB%2FcpCbmk%2FGJE%2BDHTvR1blmInjkhnAFqtAsgiNyz0KnEijJsRjLcybJ5wJeoBrZpjW6ahwQzThIstesFyvigSAahgJuQ1jpT031Cmamee63wA7CO8M9GUxbxr4pCYoP%2BPIIA58Hmql1EW4foWh8vQNiKVaqKL9YWWKVGHC7wyIvWmtEzbjSQAjMAvG30%2BCEh4EKxjo1NSPjuSVBZ5liahr6t8owwe7DR9TmXsMlrt2AEOU1dUDUML1%2B0PAsrimvb7dffSiM7qUZ89Sw%2BG%2FrUsMBDGTcNFtR2FWims8UjiuQqK7fgkdTif1mLyxUIeEFxQIIPXiQI0FTkUBQwSYBCEWDNZrAlk1iOQt0S9apXdBDBRaCm6FO%2Bh%2BUm2DX1XTTZwtizgMJTsSRVTBIi1IetA34a1gMUM5RgUFJiWk5swUVYal1ATcCBbrjYV5a5OIwCwUDTgDapeSCGrkrWyi1PKERNAdPwcAAQUQoJAquanELgxCTVQDwQjozKbCUwBd0oLKXETmrHGeRoqaiwE5CAkBbNN9n4SIJFj46ZRNEuMLHbFfHybqzfXoe9YmioJddtsBwo1kVLejnYmKKm8RRgtuEOC55R%2BzbnSIturkx05RU%2B5RS0ubH8XUcW4mBvvRyIxdmGBuB5tkytYcplASNIgjkWSSdCcEfM%2Bvx9HgPYuWsUruEzswvcCWY8ij1I2Shx905WB3JQplr2RPPyOYrJLUYosxlx1ZEog1mTmZke%2Ff4kiYg6NFQpwXIpOvSttUsp7lryqwi0ssba59V2xsyM%2Fgk%2BBIl3ZCFOxNWdfKeYLDtP9NgqoNDjNpwZSuE5Q7ntr%2FshWn0d7F4eKPOxLb69sc38VJormlBRLzkSEfdswI9aVRJYW9m8nIWw3%2BsKirGpqTLspo73VXa3j6jwoYPY0jaFHf6wLXc1pVq1umzCwxZbZyWCOYqGyanfXkqQALn%2FRUg1OhVMF3WTXwxGSs3hYAkYJc1z%2FevhVifAj%2BOa03y4Xk7Z8VD3iM9Ra18zOMK9vcimgtvJldoGFa9U3LnvNZfSjEns7hgRwTmQRE0y6RlPqpRUUJTvMMrige0xcn5haZpF5rjm1poYutCar9M53NDDV18aubrpDRty7GPtctAn7M593vQJEOoRsyTTdP1MpzJFdSVp1ZCQbZ8jANt3ZvgXq4yf3%2FlJTeuFYSNiPgFmPB8pkf0oPLRGoXxZRbVAxAbf3IJ5V06mMcHYqe9Qr%2BkwFM85y5xVx%2F2iswYltooFi1I7UikjlehiBWC2FNgVOeOLxQupBssOY0qNLqRdk7fiISly1R%2F7IkzSLghaJHoCkUr5RLCwNU3%2BqKUKXLvOlD2kpddePeo8X0O11VZzkoQxXLSSHSHRvx0qzINar6DLKsush9Kd8YsaLPNdvEJ5rvE5wnUYA6EMPeLklIsFBRZI7X4mC6nHuslaJME7B%2BduiYriEgoMLFSFohewNtN8HFzD%2FNK8gF4vtIQv5CiWHq6xKRmOpqeRp%2FkobohtUgr6diVK7FiDNDEiOCMdFoK2fQAYo9K31yFFaLJayBEEVGfIXUg5GRWDKZ%2Bzl7apEePGs3FbbOHBi9ANwLFew5rqGtN%2Bvh5qKKR0Tn95gS%2Bf0sAFEMiZi%2Bz116GAEswhh7sbCCCwGMwHdu7F8wSeEvslgsZFnAfQVacLuomCKeD%2FRlcJuP35Y1TcP4fV%2BhzWP2MxvVs6Tcdi6WlvkIpHp35H85oGF5kU2%2FIE0YXeRMWqX0nf9w%2Fv%2F6d7dnE%2FHHbuZ0cfZlJ4uOnbJKVmfTrudwsKfvqbh5rw7ulBd%2FWwWH0H903raTLSUDBSVp7qutq2rs%2FjifhMhjHe%2B1n8gTdhdlEwTKY7P3727XhD%2BpCgfny%2Bfnj6%2BvL2%2B3W26psgDzzIUmSv4wi%2FTfL9%2F4eiaaJSODX9GLz%2F%2BsJgz4Uy8vjjLwhM28GgcqCoZUI2LTj7LuHISqC0B%2Frv%2B%2Ft1%2Fw9fHg2%2FITXJqq4uKUVIdQu9awGNDu%2B%2F2cA%2B9JCyD1ZLnN%2F3%2BMosFE392lyAzkQHi5mJZ4RXdmFhq8qo38gf3V0%2F9m%2Fn%2Bqwev7l5PXrp%2BOv0PAF6qQdGm2Pyo2j27Jqw1E2swotzQZPrffWgyc3A7kL6Qm74JhFqUh%2FJrR0Is%2BsYE3wFAUPXywrF0VRKbErZjo0oFUM%2BFAMMvj7cFVUncatjR5xRce7%2BfxIpDYMFe7fC0FNWKM%2BGsTsgw7WKeu7PDeZl88rb5CP9Q%2Fe%2FP65dPHl3O62VbZ4nnaArf4C8D%2F9Lg%2BPZ9KgusdsGqfzXHTf3uG860oSUwcDA4Md%2FBb5dR1EbrYhklF2KDphG0h7oREUzac8irMqlL%2B0PKn2S%2BfP7kkXJ4k7tP%2B09B%2Fbz1%2F36hNWuuukM7Y65tpusvO3TdZEQpDbFG0yxoWzetncgdi7b%2B90G2dSZZ8yEF7K4jZqH5hEn5K%2Fkz6Q0guU7%2Fq1mTW4ir2qCh8J%2FlxckPY1k1XUO4PNcqvSJSXwIrrlBymqVDJX28ASKTEe5pFpHTV1EQT8TEMIn6x1Qf548cVVFq8EBkzfaa6nO3MZhg53T4MCucGWXdG4t%2BXzyJc7kBiQ3B9e3KHwpLO9RUylXTAEWqTe4cX46mRqXjNkJFqvpnQNmeHAWFqCCegEclAqADFf3CLi7EBDGqKFBq%2BiXBhodrdwwBgQqiKkCu6tDYe55aqizqQG06PIIPSRADShGKmiC3BVtJ2dt5CFWAykgAAbmx2ipCUghT%2BpPWRCa6PiAwHpIWgZ8J1UePx0tD4xu34XfsOk21usNUej5u14u5tpEDDmKuMSsd5HHX2hZj%2BoqMBpXkVyaMjGflvISphz1BgAhStm1WQmxomnowgvuhS2KzeZLOraDmO4xfY1kVUG9hxDiEBsOB%2FA4D7t3dciQ2Zw6VWRXSVAdgQIcDZdBMk3Iwgqr90Wd2aBrGnLTxuHRoB1E11pzYZxnDkt0IbS%2BW38wDAugeBrT2W%2Bgk4OefJtfW710g%2BPaR%2FKBLPCtNRfip7nRYzstX1avAUwut2DHNEvvDs6ebNZOCpmaGDxap0iSZ8SIj4tospgMC4mYi3G%2BDZbi0LLEw%2F3zxOc%2FL4ocsdUXTOKC5TFz%2BRY22mk96uzHTaFYgSfBtZ%2BJvClholhYK%2Fkr%2BDOcpK5xMyMJ40uuk4%2ByoHmmAgEJG4v0katW9Q2rkBNAnbbIYtEwX62OWkaMuiR5a9N12OsnShCUjuubO1YR6Enb0dq02XWEotIds4ICAhABlIcBWf3H3dsw0I7FWQ7zcWyYmSNbKYp%2Fsr0nodNDWkUsI%2BdbMamNsLg7XkwTh6kn0qrAKSuEKRo5D8aid72EVDokOURcHcZZO4F%2F%2BfDHcLArW1i9SvWs8x9DFzm79VoEM57RFEME4YFMZMgNqY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WBaMUBpRoRYt4Lu1Up9D8KxG6lF4SU1JC7swiGcLO9CfNETEOFQVn%2FHTR2fAP3poaYol6HDpHQFD1Fwu0folUegOiy102d3F7hMN8pUdiYkfqywlFVYitQKi9G2adURGhnf1V0EXdhbuHi9uMPYBqLrThOhG35p0E9ud7uTi0u%2Fj1tzsz6f4sucf%2BjvuNWvj4lv4qd%2B5IIA6kqbxQ2FIfa8P6bxq%2FvgWy%2FxoMbzT83WZgpxyYZthZcG9714KrOGVy5viqvhvtbqvZTjwHbcVWqN6LJRouscDcS56x77i3wp105v2ZzOPsUu7FHnSY7c0Bfj1Aj8k6KKJIp7KcaXBWWN9pfNbhbvXvQtxD03wAHkJr3tK2CvZga1Zl2IZOC1O1YveH28VyRuBFCTp%2B5NGXBFDJcCJCEYsqMhLHtcFcc1ZsP4L0ZDWMLXG8yq8Ih2PRoHSYRzSrs5xSE%2FprEiVW4KjPS4R2ui0efz0vhvNV8g3lZtmoipDLQa2jnfR3cVZza8b5d6vfDjojN%2BLRdL8UxLq53ukCfl3E38kt%2Br0aJBEnA%2FJ8SAFJjcSMEfL%2BMF9S6txTNIT399Pm9JIrjuuH%2FuVCebCakECfvJBSw9TkS7uoPczhviLR%2B3eh7tWdQhvGYL9NrPZkVt%2B7REMxYXJNI3FvzHIFn81wB2k%2BRT8bV1eeW%2BPqmcLlHPVYhwLK6a40S52UWypTVCbNKxMGBkMNMqkuRws%2BEV6MZvVMnZRxTYqPlUEb%2BKkgYJW%2B1AXfur2L0qBfUCr%2F9f0M3XPZ1zvOHdoBwaw%2FfPq%2Fr3PS%2F8vtY7XjfCdObJ%2Fs598qj38cFZ6sfFIfFQtFRJOT%2F6u91X5%2F9aMmzOwI%2BBmtxJz%2Ft4Afem5vdf7h3vT4yv37we3u1d77mFhFfCK79GCGXGMnCR1u8FGAqr%2BrtAdnoxb00GjdSplNy%2BFFOi15P8dGYRpbZoOXtDqLgjSTSFtZWi2svRlMIxgg6gVjao3HdUGlTCQimhGNiHXiAvmOjPPSzxJh%2BtP744wqe7xjLicouPVQPO3i06OvQ%2BmRPCT0%2FOzHQFd7Kx3Vji9mSoaUzapYxfhR7Ux7fnVKyb5xx8yAEBnf%2F7w1ds41AyDS8fwVexqZS3Ey85UXRbeLp9k781dRFkfs%2Bvwe8rLtz7c%2FjE531d1%2BDjs%2BixPCbING6O48bj%2FaMTPaLxnqTPlgcJEdJSSkWx2ZEeufrhUGee5%2BXGuXwjtFZy0vvfjeBe30r5QucqlkHnJlbYhO4La9VnDWSySgx3XzNzsMOAKwCFEfJG41%2B%2BmpP9QhDBaqJ1%2BOv6b5pf%2BTa%2Fld5daPzcLjlW31YdHskyTMq%2Fj29JPajnbu9%2FHV2iuaxlUTBvDsmw3r%2FFbH%2BUMz0qq11fjOc%2FfQO%2FLV6yddN0tvawo1Ta8cSYiq%2FmlBimoNhaX8h6wZ1k43E1bVbhJhIomcSWak7uMV4Ei%2BGy18ZO9iqt24tyzNqqqXGnrbWwlzAJpw2sy5dh5vEoSTCDjSkBcNYPaTMqS30FtysnD%2FMvMXnw44gocWjGOBOzlS9w0KxrvaWC3%2Fl%2BNbpzNGsIhT8CrBjw10rgOeSqFkjMXrYbSWNXXYGsNj4QGHMNLEqrfsCQdzUw7qEMZ82oV4hgiMOoHpDxVx3n3O14QLqRHoTh7La%2FVCI6YtIkm44EZ2mvmiM6pN%2FOoqaTex2ljoKX3dy4uS5jJJuJjvjGeEx%2BAiPG%2FPbK05ovJNTU587d8KvbeGeQyqJKQMV%2FWGMA7xhPBfg5AbRN7PgZuMhNSMHE1%2F0RuQhS3pSM6oVUH8oQykx%2B%2BQbKJIgyMi7LkCOZV6GhwIhlFtVG7mpd713SVEFQ7D7LhEIXQG3CZQhX%2FZx60%2FOgHSPEIzfy2ocPmJcr7Wu5poRXqTkGWE1kK5gYo7MNBlMIejH7lx1wTgFwcJJ0wbqp2WuTVndsEAUjdOy4o7c0niJBEGo2JDAjqIEKw7YB3DKOnynGZPWsN5sUx8yROSIuHvt5Mp9swMcJl2uZm5XE7XuZkALHD5ET5WL8%2FcjwX2croFRBlmGzQkXpFHdNdAYrHY%2FYCf5%2B1ij0vyAou12FksP6M0ThgH6kyUpxgfpHOQaUZDAEnR7pZPC%2F6vjRqwmCC7p0tOLsBYx6kLFzLr%2FcU2CaEkRi3Gv%2BcOc8VEvrafO%2FNmWTbxOnNhZR2%2FvZJdyusiomCj%2BBfBSAc5xp2g4Koen0IXEU8RGfKyThUS67ySJ%2BdY6zi2yNCloBRCLlenupkCy1YsKSICJAUChb%2BIJ5z9HWFrcrepDxMndIsuP2WGeW5bOQMCmFlZ%2B1B8daMFXhZOvl0r%2FkF55IGaDRh6aTQyRdCio0dEonAEUhimXt42cqSG5evdIUlWwyFKeHUYODvICaqgaO21q7BBKMEirNs4qurJdCQpFdDnIibL0AVZhJlCzlcdkbGw1FlEffbjZb6qzxq3z8DVoRqrKmBufUXER0Ak7Yy1nBNLNkerNkeZH5Gviljj%2Fhn96s2GIbpxt6wzARAYkNtVcfOo%2BabrZu4mN9gZjurCSTpdwNYYhbjamMEMxQxd%2FZTyGL4B7chh0mfq6WyHduIbi3epGTpMlWEyjIDTfKGXGefmjiSodKkVUiEyj7ZW1acNmx48W%2BLJgAVaSMk5kKClyA8EcUzjXIInRhpM0drVj9EWaZd5a8mMARIYUw1WlHHp4FIE82ZiQfjqC1neOgWw50wQlkG1mClAobpGvxM8Z0yjOSyZvN4Anukh35mJe9pOFaBM7BozniTPjVscWBLptUQMR3QkdHk5Xl%2BefJfW23VhegVqfYQVvIIr%2BiEyVX0OAUUi%2FzL2opjLyiaRyJLzkbVGrTdbfVxFWDW%2BKTIHGdhqCXmUUQRsLLPkzIOkfZ69U7stXCP62cgb5jf%2B%2Fdv%2F8X272To1bV7CK3xf15X61TSb9lvT9okP07X7MFN1wD%2FB3OPJD4TExcbx%2BWatx9QocSmHRDzrc4qR8xYTAsJqIE9W4da4XbXbX04uG0kZWgNhm42ksVU5A4qSboBI6JuGqIoaQpwjnzBf0s5e3kufrdSULtGjmfE95oY%2Fx6Zov7KOG%2Bj%2F%2B%2FLgbE1857UvFiabO2kHxnf%2FO3XbchraXqArBxx56t8SdlldF%2B9Ibw9U8zHlIg0t%2BPlqES0wvm%2BVnL%2B3Ur2F2czeFa%2BIK%2BSO0nFTk4%2FZFLfEn%2F0RIn5CkuzLTb3jtcLhyox6crNNXPrK8F68nzaZSWSK2mD%2BNUHa2nJI3VslsJ4nqsUgVBieoUBB%2BEU%2BN51sjBj7oYfFEXlIf2ZcdypxMLKMvlO2EnmVp8dfmBhP1hdsE5EHPyPbvvShY8tWaWpRCZWxvVtdIRv%2BaBZRlLCamGy0SKKK7x%2F6w%2BadKOaj2i0f6OMYFijJ0xJRhrEAPLy94xy4X4YZ9eLodxkOK9H9Mqm9b9pjAVeWuahm%2BtlI3DIfZ6C6wUY4Hse3hYPUMBilf770coY8ba%2FQV4ONmjcgdH9ubFu2cD7FJmAfYPX9GlXRp5iNbsZDLB0%2BRBYlzbKlmwGXkFhDAVpf0pQ88kxIztifuZ%2BsXJJMNdVqOqRBXzhqBU%2FBwNX5UhyFymJ6ur2XNVJSNWxPvI97XycGYsUfHPXKGUQf%2BF40tm6V4Z1l8ZLmaAIHEGo72kI8LExztasNixHEUm5mHwwZ8IKxbM7SGoEVpCRPGuuUWOyTgxN6sS3%2B8LXlisBiqMjs6YHFgMFKwjBKiBbTtKn%2BXK2CXbvZOE2HnyuoPZMWIeFMmA8MFF%2FiTCCXdCXhi8h3UKwEhWRBQWGgkCeg937QqOZ7tz5NzSA94r%2BI9iVGoNcpeQ7kCohYHjwIpF1I7ykg7ZpIgvB7hEYFkA5EocKM02M4CGMf5A0eDL4efJMII6KJeGISUUUEiC3EvqSEJPjwcCS%2FDmwKidL7UCKSiN2Z8puQAgL9NyTRDuf5dddxV3438k7D7Qm3%2B%2BtgQWjuewoUHjWPNNyGZWGVP0KmyW7LlOvl9rdttkvzi4Cp%2BkjcsNZRA8Yabb99ai1RZK95GkywUzr2lr6phACDjUysoc38w6ruHJn8UpwRzUqT85Wo1GKcKaZtzrOgWG6LX7fg1x7aeP%2B788mSLdVZzQoddE2ufpGK9ZhovnP%2BFaPUDscMCtVtKwaYdTaaZIP1jtglCliYOBFiHQCFhoCEQpWEjAKDQ4RPQEpoETG9ZFo6ZmrjudjYeTl4OBWoUaXaSLMeZPBDjZZaY4WVNlulrDq900446ZQrDruKZ7V6dQ80%2BJrf%2FO5PezS%2Bzwx9wR6h4ZKvZuCV4Q4pD%2B21as6Wy7QngDbcpzsDl7TNAY5utPj%2FC5Z8wuxz8uZd%2FWPx26%2BS55ideOkqX745qtqwYXdBoYgPBfdhlvh%2FlXaqfzqUnksqE%2F7%2BEnaWbxHfqik5ix2Qi5YFpUZA8pFgC66YEvo6kfR4D0d8iZxVRyGEeqA63i7F1tBWZRywaWmItYi4aFI32ROCZGWMU%2FNwP06fEVOhbMN4mdbRPDaYucUBSEQUXQaAu4iPmTogb2RVAulIYYRjSlIrTmr10AR7pscKZLRQjGP9U6WwFrHzBjMnuqWA0ZDNUuxM4ASzwp%2Bs1jRCA0FtDBXs9ww4zg0MZDTE9i4dqMDsZ9dwxNVftBSIu5YWUbbcZVaq8CV0qUYG02tEAsibXidTf64xltWR877M0g5U6XPbBRqkmUg6nzY8NNU%2FSAWcg3H0pA3AerQd7N5sMX1GU7LiCebQPZgGTnDA4WoAghZ%2BBtD7hV80wDN72OauSxGxYPupDXyhgA4PA0t0l%2FrA6oYf6vrmQGs0oenr6jTTsZbCi%2FqnM7PosII%2B7lfOdc8j15wC9DD%2BgW4Ug7Kt77zUVwxpZ8Cpbu4RjilCEb9Qmo7H1%2BmnLk4t3DVOcmqUYzSRVXVTUmXTgquklxUBGShFVcvGMB02r9KZNLicKyoKymgHk7DEpjxmDQc3lRn1Q3jcRTlngLUztrz5cR4O4BqoExmEMWZWTxQn8M58xhbIgXNW7Eo9ngDJ%2Bg7yF0V%2Bso%2FX7VMgbihg%2FrLjhIoiltXxSJ16806XGG7oOCcFX%2FALZV9OW9tKY2hRAlLqA1cNOZSbXHFLgHhG3JEBpq7T7NQMh%2Btz1zrXOQ5cF832KstNxdS3l90CdHVA3kPm%2FnMdC7n35O6a9h4NrnOO5ZcyAhUhnjZ%2FKjSp9uBMKt1QKUD3UkxUuHZ05aq3msTwXoIIPb06XceYzs4PaDniqHF9OFMySB4c3FJvg1nf426fiZA30AWJ6ZN77DbDqmXn9jalabZ1zjKpJ6ZO04qJnhGvqs%2BhuddnEsNH2Rvymn%2FLFaCQSPvkCL8aBHIBEPiwg%2BAjwCsinkJxyTUCn2oIPgMEkU%2BhueIagS81BF8BQqpxEJt3bnWLx9svPxD8uIq3Su7%2Fg4T%2BnYk%2Fnxr9la92NJWvpcDX%2BeXiCWhrf3zT2KHODqBhMzVmlG3qOcLEIlNYVFUcMc5axh4KNjalo6vYkEQa1V4cQW4oiVEKr%2BXgIzwfsbqPuSIhUq1SrfXQVHqRj5nkYc%2BMUa42rY8G8T0rwk6PZb2RUroFDTLUZhtRq8P9vUf73XeY9VLNWmpWpNli8Vjum63uIyfTI7ewvmat92u%2F8qX1Wm1WugUFe33fkdfr0uovLlz6MS%2F6K7tKQ22KjmnZSrG6X2qXmlWN3464UUpv2lhFWhrnP7wbtQwCye7utGx28vRGMYQ6rNddGpATC7tfDMbKpkuPlDad4XayVPhHujoXO%2FPV7LPZ7Yet0mmnj6dHFYsuzBIf3dbWTlI82diuNn5cph6BhY4Bz943lv7VavDgqVFt5%2Bt1Sn4GNDW5ui2XHax0FVvark87ScgdGrBWrsnWv%2FHtNdHYN2fkxffYIDhuNobGm10qXaehNgCsCWHxCeeSXx92WddrV8YXVyzigjsURzqtqZHzFhOWza744FdDFT8y8EFM3wzFoBqXZhsDVfRNxztIi2FC7Acly%2BCQAmj%2BxdQAdznKfr0OqSajzPiMYCBr%2BZRBNjIJMF2SVb%2FcuiN%2BOPyF4QpVtbomAHb8SCq%2BbetwCVUZTue94NcCCmhZ1uHxdBVEutVzr9nrBwiuSsAdAbn4%2FNWfFvcxhpBST%2Fd6SNBt%2BrseS0AvKCgy%2B7lY1iUaSI2xDZnLTO2Nzh8q9nPIFdxCAKcKPk9eClbAFZU2oQssEA0O7N09lXHnJV5ndPa0bNKH10Z4UPkMsCRk2ZhHMBxgg5umn2ZLzVHrIpfynrp7lDNqEW3kfhoAXYv4KiOgAyDf2nOE3AhaRkIWdDsgGQkKWSjJIQf22T2VGipBpMncLeLu0lL4Rusl%2FGQUEa4hU6B%2BbM6t8zSuf1tUgUWG6WGLxgPckfM5B%2Bk727meTrqmK%2BjNXVqV%2BYodzDtxgRUqPCVCyN7O7UGEr2DMvppoUUEEh02I0aqIH7Bv%2B%2BQO5FgAfXJnWVpIXYK6S7rI0hTU3478qUPtIa510P4FtZpz46Mt4mtxi7gN53pzfn6cbLWpwN%2BbRXmwyMR5t3niS1tCcrW57ABTP8k1rMsf8P%2FzCOCAobii6hiZz190eHbq6s1Sh42lXLxWbW1AWpHot%2B47y8r9o58STLGWvPsX%2B458DJraTe9tGFBIOL2grl%2BgkKG%2B3ITIVB3SCs8YdTB5AytAD4f3dJ%2F3bGhtslk4mEZLn6XcpomCjeVavfgq0ajRBHeStJ6YGNg68%2FFJniD5zmYUj7K1OIbToa1gminJhTCmd%2FYUKXr%2BOR0bLkYCcWh0oxA9tMzEIeL0gwyI9zh8eOU0DQ6GuPUFKzzn63rb02LPN%2BV6HXq4EH5qDvNa4%2BcKGfXXEz3qfrvUlz91wseT5nZU6IXtJyzC%2BoLwQ%2BXQT4QU%2BPEY%2BckOty%2FMoQ0wp0yPP2kDGqumM%2FlUv2TL%2BQ9IUOXqvHXjm%2Ba2wiiUmk9gjXldUX%2B8jYGWtZpwKc468%2FJe%2BDyHHUK6rEiEmWjA%2FyThunZ1sL6gGEgtEWRDyJi7JKqIqHV1IWwyyUx6NF5u7rO2S%2FXtVXGk4KaSLTbLROp8PvRC94JUT17pknzZ40fAig3GlLsm7aRbSKdjB44kdS%2B0Hd%2BBjX%2FcAdEnkOmRyDhALlSzk15GNkE4TP96HahV9JdEKPk7anlmBkCzdp4nOzRhJvOkVLisp5djykBlHKSXT2KVaDGYvoGitqJVjalLxWJoPCN%2BFI%2FCQpa%2B4O%2FnQdYeGyhg2I8cEvKkRJA8qHO3DzmkyCMGDT0ulSj5jFpWP7DBKruvEDYUs1VnnZuCyfK0qRsDm%2BY4Mvy7DNrE84OyV2z4dAdHw7nX71b5zvYVppGhdvAfrxLg9WRdslqFnqW7WrgV6prPUKZN8%2F0%2BZHnVm0vnq4zTT5L4wlGMkgOHxjMQHsQbck3YfF6G8SF7d3AKV50yRrjP7TK8vbX8A9C%2BPoTUXcSooHiJxMS3xEUiQPifJ3FXZQARf7ve5K1tyfrcU9EF44%2BsrPIfHN0k72D2qA1Joy3FaVdcsWioMj0G6MPhPeNxum7dhWzAlCPtsr%2FSdsfZkz%2Bny%2FLW8gn9cinRVI8%2Fu3Peivh2v1Qu33r%2B1s4zkhU3FCA3QwvvACR9fmPVI%2FEBzoSdqA5kc1GhP02OjbIf%2FClS0mvs7n3%2B1Wvf6jAySVd7l7KEumShkcF0ghYIU20ZvUO9GtJN8T4EgzCQuF2qYvHTSfKAyqhvP5Ez6cunor1azbspXo%2F4Svg5GI8qZueZSQWSTutxrjXE5FCzIwlKMPskuVgeUunzvA6bdLwi%2B9zd8xZTJyEH6HPVavc9DqZtWOqgpJvqbUqXu6V7AJvR1dEhF19UhMTb38cN62DLRdvrBdbQoFCh%2FP%2FrCiL9Mq3l%2Be7W2zGMMGcMBoKmkgkSWoaLA8eMOhQOIgd4%2BdCsnn4OzXX6pTKr7av%2FT1t0FUZynG4HiDOlFBohVCnoEe0ijKlOlI1i1sSxxII2ENvXN7qs0cZoNH1dyC4iiqQneui8Yox2Yt%2BmyJ1rom9wMEdGkCEdovCLHnhgZRtOIENlwNWI%2FrdWHXSx%2FoFQABsQqLllqudVDe01mnLW9bQoQUI2%2FCur0x6Z5GQwOgbN60AY4Uw6QmdDjviUcYUgC0iu8AhHzgkfFaQs3JBRbvnyA4U0hQfhsr%2BOILs8Qdm%2BOHLA3j9oHuzX7C2Bh509NElscQhCTD1CBayQeaXXwwIT5kwi683zoFV%2FSLNXkz3MQJ7BmtUFKT1EllbDaDCntppmqpmyl6b2piylmbWRXLE6yRDGjlOUg%2Fj44aULjFh7umlzzbQJrW3RjImQZVdVpzA0ofnUzyKxbf4uW63%2BXDUQBBA13VcU45SfVkDvpoWJrGdNQjA2SHdMqBfgHZVNMgvX4PiaYWdON%2BUeNcuUSEqdl0ErxsJloRTUfWdD3FV2QuJDcZ%2Bsq6jgwna9%2BTZgPSnJzR96MNT2CtecJGlPgwi7HaopPvhMICuVa9GhT9U1QbUKJs5VJlYvjL9wlUeHjaqm8bGzcZ%2FOBFOCsrdBrBXtKZpAgQ2H8VKk7Nx3khgEZ0mwqfnMp9k0Z83qqf8I7XDlTPqzWHW25UakRyZ1zibd9y91lWFPgOuG9p5gT7Uc13tXxXkwJZUSjAw5EBBOeLZs6fLSyCVOa5%2BBrCiCNsgvnDJMpMrG4heIeOp%2B3vAIe8n2nN1j%2FuKrjwdEeCTPsEGJuyabHHY8o7rrAMmaxW7CbgvlJB8RAtDJtQSlADYQDjpDxJi%2BvwzXmm9Zr6fn%2BTH0TwwT9kpQnWJC6OM4dJkhg%2B015v9gg2S3yX9viipO8FyNLQbGBOi5ibq3LjAl8W189LAWr69t75ET%2BX5kpnIfz3XvVTQpbmb9ljy3a8uzz%2BKAzqHd%2FOUkdNCNgeT%2BSTI8Bf9zvcxPoBu0p%2FixTgdJ63nfdd%2BvWb352u0QIh0Uqtufa2c3m87qhQXu%2FI9Gtely2uTe12aIVuzuKrbJsfqADBwGwkhTLmsJPySPS4U9DLJM1A2Q9Fo5SQoy0IMyLoxOuJ43lE5t7m97P4DsJskWZzKkMpT2URaXsH2HIaQSRhhIPGj0Pv%2F1IpWtdYIms3idrgZPbkZZQJf4lQm7Z%2F99hgMDlyCJPI3EC0g1iQNvtfk%2FP3RJeGtjnNYrye6iVRgbhDDGHstEibx74Br7cFoxc95SCldMD3JaSj9%2FTwKpAav45RHrOZIwtqDnBx2%2BPUk%2B2D4TAwoSRz0vxj5dzzMuUz4UMsQAbZ%2BB6CC%2B8I3mbun8ocm9zgeaW5tuHkZD4ua0veCi29dvoBGuJzx0u%2BHzKXAm2%2Fj5VZQ2qZk7%2FzmWluJ5cyIwaZh7YZAaNQ8SSuds9TOl%2Fcg2xFcEH8WZKqapb84Z6JAssK1jtxy5RhlpY24OErT0Ofv1vU3PcBrKXatU4dv%2F8eKL9WdFlWdDxjEGlF3amXtL57%2F1o3lBAXEa5NqcjQUiWYEMUXFGaYbWPDNz8ll2TDnVJ3yBqiD3UJ%2Bhaf%2FIzimR%2BHy8VZ230yi49roUKV3CJ5l8knhVi%2BsmErtx%2BFMBuwlSCoGUQeKn1DFq8QmXFWfnobgRqWRE9Om%2BeAh3HS%2BYBa7TKbDwl%2FtOQqG1uy7Pks6UyhfhnTev9%2FS6PxgEY6oVzfQMZlL3LUzUk2TS7E8HLAGzBB0fOjh%2FKhMbufgTTDDjTthH9EAIHo2Ju78RZWZX6DnjMks6tamFUzKJQGPwcOcZTh8QG72kSpmaMdKSXiRQ4l%2Bviw9eHX7TycyAM%2B0dOl%2B5YJKU3Xn5O1pJhv2KgF89zE4DQpoN6WXccUZcX6OPo80MD6K4v8sQQZ6LTxKLcGj5NhrGIykqY%2Bg3HkSrf%2FBt5nh5RiFzgj2NP8mX1ynyxJboydWAu4Rl6HX0Gks5Jk9StVCWrL01eFE7D5TX5MXp4F10dcmP6PZdYd1QOv3IVb0sDqeO6JHscjs%2F7TLzUSrgzDc5s92FjmRZsoWmFRG9st4YunbXPHvtdHF1hrdJaBPO117uo%2Bn1zIzOdLQZGYUWsGD%2FCVwGRSqBx%2Fe%2FGcmVnHSHsvhyEzobE4VwoMv8g%2Be0s8EpqhS7LLe8eOQEW3tydplwAmAVTMwqbldZJRmJRgYyyJtkqE%2B2qguExnRytVLDGGlNLeIrk2sVnLbVsmv5mmkzBgYtrk0u86BZs0kj9g%2BYBwjU7AIAzpbpaSRnZJ210lKZNmIyPz9X7PH%2F4H7rDDrEUfSVG%2FmAj5zgN9URwuOTd3JIT0yw5O23auoqN0kunOOOK5068zrPP2ievlLLMHxqUDWwzliDDzJDDlrNg1b4Iz%2Fv1kH5GhNgHpRd8njMAxr6kMmQfXdoog4ph8cNOd4R6hit8ZXyJwJW0cSckg6V1TFam1XGn2C6nJpdfLncFSpqtTm9UKDWBMQmL6VKrqIVkUaoLKLxhOadWu3V38IkJpMwFcNFNYvg6vDSsCahyAT%2B7Yx2xvBbnzfWEwIVrFYoaUhFVSbKG%2FHuQkJFeLiCL6ygK18XH9IHhyvYJEDWYISIJXi4hnUpdxs4RfDy9u8atKZu9oAiI0Mz1wmza6sgAyU74ZZ7veo5brST870o2g1DcTK7Lkd5%2BaABRkM3ZKxMy6rPUVw5qIdRl5fkWcaBqwPuKwME4rbGvEb9frHd9Q%2FSeC7aOHwKk4NNzXdQeU%2FCgAcElkZFJFWPtOFuydTaeUVkhWN0sq%2BEiKtpl3Td8xabvyi5TuzX7CqzwsSkVisWWYV6FTPRP8jmuRv6UKInWpYtke2ApGwBnw8DnhFYyUoisXqkHfdA911%2FrpSpK8y0JBMrYx1w1qwc7E%2BSXiCkWk38%2FET5ltZyZGWXIi2zUKMl9aWmIpxjvZgZx9lCissoykMrLHWsQWn6tKHplulDWj2tRsEaSSjDaS52mAfNc85NYE9iEVq7p5X4EyZ9u9KULZKkw6pk5ZZyG2GCJdCoTM9s1JhLcOOBcnO5Al4lSfMJ2cgQs%2Bh9btV8ZdwH5d9671uINI2Cb33lt11f2ElXgnpyVbWQMmNgqO5HnYM%2BkNy3C6N4v6nkR%2BkP4xjeND3oxhF7QLuoYHGBljXgCGqZqs9JH3gq9bXc8RUR%2Be67bLvnpp7PC8878LTzWacL2h9hjoL8y1rKqiLxPEGD4o%2F7qTe0HPnN1Jtasex8JMOAfLGcSPm%2BPDVRSE%2BL%2Fck3e1JNrHTCL2NJhSRJYX1t4AUWqWk4C4aFI5C4OlEzN5u2oHJRZCbWHku2%2B1US%2BJe4D%2F04ZLuBvD3hAqYcmb%2BH94Rr%2BNxkj%2Fz%2FR8OrU5GUpy9WJCV9m5GSKCCbo44mVDRMcag19HRC%2F9hSU6EhVxoYUa7QKQtYgI1WLA%2BFBA8wSRavGUtH4bYET%2F71v70LzQk0c50WGqu%2BoY%2B5IMumFw2Pdy8K22Ow5aiFSCb%2BwMQ3LIJFDGAZDBNWjLeixnRARv6qbE%2FgcEGTlrmqVqTnp2EOki1syuiFuRf73OXdUNLWb3oEjbzncDeB0LW6%2FePgGWlitlAVi689NXnGWI44iwW%2BfB8wp8pIB%2B%2FvzAyPyXkRvYeCkyhw%2BgIuau2LkBUkblFYXVJ8v35h8waWqA4v0WzK2prF0L8Fr%2BuejUc0ZqbBoWuCioLZwTsW%2FkdELSgTJiQ0PgwEsVt8pF8AeA%2BACrZxmvq17DHB%2Bz%2Bx9P5%2FCeQev6NLVlKqnJU5gtdN%2FfE9CfUa1QD5z8eUWj0ONS3EY4ghcQzxYMr2v79QGRbkQKI8FcNT6CnoCBtlIic8iTCzM8KCsQk7s%2FPapBZzuygnRzLGYRWOzcprk1jYdqjhTJcXynJ2yYtLFTPSMjXTywNTJJNh3WVYxgEjVICJyCzGsHbzUTGdPNuaiV7P8tdx%2BOcjkyuS95clXwe0lIDeKPNxNS5ikVhODRhtfpZJzbYksbAOBhPtjDIlMQkZFzx%2Fb1DxIM0TKwd2D7j3DBDSJs5Qz2At3w6OeXpoaGN0vFxZEPESgoIJSJKoF2tFYSNmo8EFyibOdmUBGA0dEbZl3o1oCYkIQ0FeRhQo5fHRi4aGumPA17z0mDalfIVcmXNEqVihULbF5MyFLVUvVb07XjFtVA5NTKWaaAl3pscmJMS236HSwPT9MgC2QqbKUWv8ywDzuTkCBkCgYZ1cDs6tAIh0VOyyO2kGaO%2BaSUACVVnIMjtoAemdkcKnCabb5OPqbOQCKZ4drKgRPIQsv7t4hAyDWVs9OVOgsSflCsTEPLU9k5%2FRQm1xBJXo%2F9TDKq309esFp6a8STdA971dO%2BzqjnRQEcAfv1FXlfy%2BHG5NM%2FcUK4sVx8svqwu%2FEpunKodcqftjBGd9WMpUWaBI1uVxT02g8CmQkjJNFiiUd7k91ASKuDweoqWDn5MpbrNbhW05vg6hzYo2O0vUbrEI27IvH1aeIm4G8QctU8rCeOWGTKbKWKYo08MWv%2BBT4xg7irQEJk5%2FYyqG5mQEGxICyAQ9vIgYKcvlGO2UIqmcXKy1Z7EkxjLgrBaYpGZ3WHDUwp8w%2BftKdS%2B6K1irWr%2BiLqQEwwLI39FOBgvnVFhI14QTyf%2BTf9RQhq%2BWw2LDyYSEk%2FNRCT3ZD4H0%2FweDMl%2FNzVXnqgC%2F2v94j7JbmfpTf6aAuSt6Zh7WwCEbBQKK1cDzI1ID1OJFEVV5SGqr1Boa%2FUgWbttxNp9oO%2BjFJpVRSw1BFayN1AF81Wkj4h9wZr6msRtHG3t4eUhGiAu4ZY8EIgmcyJ4uoJDTisy2ApZSybUx2amFsog48SmTaCEbsTQ0bqnTLbCCySQCJBOGRiOGhDcznLxnCNvR9wBFru%2BXpwnbMbsDUa3%2FwCOH7VgyabdBR%2FJGLvjbX9whPsJhPt1hkvqxImkOUa8gO9lJM8YSl3Ws%2BsRFc%2BjGVx4EY5x%2BPV7STWw0N6yv45iotgrAUj5TPxBIDxOvJJFP5QMi8YY9tpfh%2FttbiEHX7%2BvHYVftqMfji9bMaTW81QXrWCfiT7X5gJAn5DYdH%2Bjk19vTRdvkfpI%2FNptlYFZanYUMqTSXajbQfWIhzWcwZFPFphp9zxr5mFd15oJK%2FfgsYVHRoE9WdZeGNTBwH9AZAF6MA%2BjUO3wTmk43Y0k4k9H34BnwzPSgAWiQrXz8eQeWLbHJbM6itBobfoFHf30WTCCyW9zzZfOXWIK3EP7ecgjl3iTbtARY0nMA5X5WObQES%2FlOBnUe0%2FWBj6CPjjIKtty6vAQ2ZWH0ESjO37YWzuspLV2cj1pjJovQz2rPLn47dIlKvHYE37LQk8CS%2FfMDPT5hrnnFKi6BBT7aA%2Bjmud14wvbe37GmWlltJmxu%2B64XM%2BDmhSfpNAKzzkIScgyJx7KTLsC3YmHVQUeCQp8NWXrOjChriM5KwLVu7EdKhzl0XFEnBWY%2FZqYIFG5SzN0RF6nEY0cuoNxgAogDJQBHJMgWQyECa5NVa7oIeGLAVyera%2B5cUjlw22ETjtcQAf07%2FQ9CLvQSX5DTRVJallGTQxLTgITue68P7CxSq6hfh36lUVfdOEIRpDOW6MAdf8daSuK90HKfjiL4f6UDn3sFjfCO8HPh3vjc8OJxuz2a4hP849na7N32NzGF9h%2BOioesd0OEISVbWXF3we%2F7dZgwWTZHbycXimVJxTp7NltmChiTapOjZYx0QJ6PkeTU6uDz75XxVDQAxrjNqrhXrszGL344ZF3fW%2F%2BuBMsxUX4gnXT79RAn3nyhyANdPnSTO%2F66TE3QQmQmrRijwJxCkRIjwMu%2FGUI4OBtgw3IYJgTqOBkTdCQvwxGXVm0X011WaSn23Jirr3u%2BOfUH9YfsPT%2FC2dCvu9T7p%2B2fov7ad5Py5ancN23f0i99kbDXm%2FrYp7wp2F2FkT71%2Fin7VxmRlfPC5a%2Bv3rDwYUCco%2FGpcVMR5nk64Dpg%2FV5r0nHvVkPSRZIhQpCh24s1tZYCpZIG1yV1XvsplxtngSRR%2FbpWEOJEpBntO04Hw497WnnFudG%2FkRaUxg7lQBNil72DUQAiefm28pAuNj410L8vqr6ip9G%2FUm8pOPfFizdFIuc1oBT3Fhd96fAf9CoYP0PAJUE3%2FLDrD%2BkPOjd8CwcXrzU7x2hFqQA5V5GpwpuPJE7QAuR8uVelzk2DGnVApHbUjwqjzphiH2ObMpF9xhGfLq4yRym6FeEpEQBt1xh8F7hkpw3YhUVpFuwPQ%2FyA266vFu0hCPdeIhjuzVryT3t7R3tve1tb%2Bz9tR3tvQwGtni%2F1KvG%2Fy8vXIn9Uvl6gh5A5vyrjvOIcqkVMyzYacqlSRT7D6KTWmWuo64DqQrHaUm8%2B9acoV6PgWJkiD7bJ4a82A%2BJsikFP9X17RjNiSVgjjYYzQoxYGs10QVCJpJ6ntbZVK1yp12j05KOTeIemyrqFp1Wi0%2F2nscWnG2Wd%2FENd4vn8YyrhsX7BS6nWZ5%2F5h%2FbyDs1jRo4gCtupAZmcFgDsBWyFYmIAOy0gl11eWdbHaA7WwQAIdDpAVOCcHDbOpTARZ81MnEvI14rtlvsAQYYupG23zA401cbNdiuftNOkMSLl%2BUzAuqlS0kuAK8SUuUdlo50Yd0tWmtxPM5oZJZp7run9jBuAo2O4W963zDt5Zr0pgUIzJ%2F6D%2BUh0tmTZ1bi1DKyTw8G6GABe0sy6L4o5aQBh6xMW0SI29b3HiA25%2B9qOw1H94CzsfSj1O9niZK1XO7dvVu4TAtSIqArCwSxDum9N3OPcNKk5dcfxGG583B5IEK9SE0F%2F%2BuLOi%2Bw35XMRhGgRcvTZkoozktbyBorVYhIT%2Fp51TxrVO%2B%2FX2G8cQc26bJ9FdTXtcp4zfyo5J7Pw9329xKqzSB4i7ZtyUDuHEAikb2whCWuzYdkkruSqxMw1W1JswDw4UVK0DgybBIqYZyOugs8KtsVKbJ8RvMkE3JHiOzkMA%2B4dykChznPfGbAMBriYTqXcOtza3zD893tQqI0hfAyGH9SDQvUE83ldwt8FI3XCHIpmhB6o47cOCGt0y6uhoAPQA3m8uOBNpJSTd9Ly49Eb978%2FBLyQn5T673BM7b%2FYN1vzPcVob8xjb6SxzHjfANxOLntbptHI%2FByDgxKQyEmBqDnBomaZyFEoR1xMKB%2BqTHRLAk%2B57t%2BU%2ByUTyRebusdNfSez3NXIHXK1fGch0ZRMztrKJ5hqbIiJzQHQ%2BIe7xNHs0LNzxPBiapGoaL%2FCzfFRSpCVAo%2FpL1UOS5vv2h9%2BJ6foos7txVLlmP7yCJCV1BKOL1mxX1RELYIXhx%2FYScicWoLHl0zNIhDKRzXXWM2jyh7DBX0P4Ymf%2FtVBYS8q%2BKc%2Bfsm9UpZSVyahvL10RZ7Aib2PvqvRQQFZI2dWT7A2jFNpLFYVk2rGKTqnaad1nkaTAhqlSelSds3Wzp6knPTywI1PiJRmcZIdpCKpjBow2v1sSXK59k55che2QX0%2BDm1Ch%2BSUqkcSTPs5V9er4sGLsSwLmYVxMg6%2FLUYApOUrjhkZ7r%2FVX7sPUEn1qXFoWYbK%2F%2Br2vqK7JKo5sZ5oFTDKfTFzUB%2Fnv6Eojo1Uj7Tq%2BKXf6ufqx9KR7BqvGU8Zrx7PuevKbRGfJbkf%2B2ynk%2BL%2BKLgKaVfVx14JHy8GmcziQ0SUXCuVyQE%2FCsmy3AZNA8l1Eggqs3oAIFLfudlnE0fG64X3fmWEelG7416vgM3WLvT5hKMsVv4r8GW3C1NY%2B3ARChFaKHddrduhqtoyaqtk7yXmEiYrlDZtX%2FWXyORm%2BuJXe%2Fxkic4h4idqytZVHjfAe20E%2BguLBcrQBGh3wk%2Bl47iY63QJCn7t%2FQg6xongrybZar2qDQdrS8kCqqnXBksirkXNu%2Fu31eRCx9Z0YHET034n5YeXuhz4l794btHoI2ptSKbep1hsi7OhyOhYVw426fHCw2cbrZDiCCYBRD7BDQPibKHt15%2FAcZPLn6YWNVduv5jh6dGvXM9u3u%2B2oi98vO5F%2BYCHI3jmwz84k5PyTjXb9zVhqTNpOIPacWTgnnbmcDD7TyG2W3vldsjsW67LmKxbmVmS5oKN7coTSMqpWAOaJiuSn%2B3ocPFZyPVv0KjEq4r2zbtlazrxIm7eKhsVLoWDE2DLtobkyBGj2qchEFuXQiBfD5xGQlI8rVUAMr3qmg%2BeOOYqHNVqk9l2AjvbZe3FWBUKt9vbJgKB6cWAI5cjk%2FmkXoJlpQV2NF2RrPILdB5SAOAzUa7vxiQGXrwA8%2BdO5NC7yWgmQEZhnEbfC0OUJ2DjEh2HM7ASV6Nm4LkzU2yYP3q3AeaclEyUCuNOsyrxeXUpBGWWKO%2Fvv%2F%2FpNMVTeC7UOLyBgU9Ex6Tt1eu8%2FPa%2BaCXsFkZopBHJKTQzgonQWYkk0mM2a8fTe9hUkoDUsKoCafYnfK6koZedWDNjsMamzuvDTl2CzKE0fRFTYyxSenhrWL%2B89LLxUHAsriAZO%2Foq92cS6h1IPteCxCwjsmrG9DIO%2Fe7jawu0MoqF%2FvT5%2Fz8r37auRRBYYtTot8UVtyWjpk6g2m0mIfnH8f8%2FfZ%2FZOQ%2Fyni19FpnubWgQJZT7d%2BC7BxJFIKLhNk6zcSMtKtryhQ8q5B7elPRsOa6jWu2pv%2BKaLV89adebh2TJ1Q%2BihOWHY7Wd2rHwiP3i3omi3vBHFyKsu4%2FtOWa8OzJuRhhvRyjrIrUrGcnQf7D4VfYFlWmbcZvKd%2BG5PMLMiJUnxs1dccI%2BCB4Mtq84PqdzFjoGg78%2FpHnl6%2FTzwVGZwdAHWmG8H2Hdf2zXMcOItQ%2FJPOj97G%2BUaJNdWD2uu10fWpLV%2FRswfWdthqAejFkgWNBv6Z8nmId70CDIuuJzPfk9iSvpTu0v3JIt3sDL31Ig3i7jUYzUOmPqMKBGMqZ%2B4UuSa%2BGqAIMM7fvfEOzMV%2FB%2FtE92sfB81ZgYAGBLbfhllDeQCvPrI0IIbvcvZWIjfz8W%2F0zsa0FCCi%2FBpmmlSbrinmmQEQ5%2FxkdRmkD2AJAptsvZc%2BO13y5tZx%2FHsa1Z50sW%2BgIw3CzbGE5dR9Gadx1gLa1a2MYsSUtk49wWCnBM9C5XDY4qADGdrbTEJQOkZFU41C%2BMXHCZspqSAPRCwKRw3j7p3k1m74UIsb8dFR8MtEyqbyachQEg%2BefIhhyQX%2FM6rAPP6iOyExKWtfDKlD1xceZlBHKw45YAwiu2WpDz%2FrxmE5%2BNC0BBJbEzioAEPN2UjX4tRNIB3WNVpDELHKt71V4RQfTxv7bILndjRklcZUZ4%2BxegpCaO4ltr5x9%2BbVFBlrfnieTwhAOCY9zoKQ%2Bn4TjCLqm5PoO%2BQu7NP7zvZxXCcMV8BteqYbjjXWLsltBgEgIDsQOpxNapOuNGqZcEAIkvsCDE0IyxzFHbcFRuht1nE%2BCRi06DvczAczk1VRpHXE9hw0ltIzGOWJRSE2IfdCdca7JNUJWZi0LCReCHKeJWH2aQGiXP9GzCpZsstdydQKRd90oHxdivX96v41DmPKCtJJPceVK%2FZzeDTRxJbgcyOgj47eUEGxEggsQeABWJ2MEMI8C%2Bl7sERHrppfWKgVyhbQS%2BOHNt4mDHmjOTFFQlrqjQsW8isvARgg9xhnzCK%2FgqPAyDkgBbew40dMqXOgaUH3GUpNOoIKI5Ag8YmKdnMKkGCnM1QECEkAfsHdqYXRSirSGk2OcC46PhORWu9xihJq%2FaCGA8w%2BBhDgioCrrcqk2JEVihviNEdjXKMi3tLMYlCzMhtaBdPOkoa9kM0FbqEBocJNmXTDDRaVU6uIlKyCXlDyXCd4nubWosxfYUrt5UcSEBIAnfUKefZ82EcQyC8czD2RMCHGkTi8clcRTyAE4wT6go3pCZT0AiAAJmKvMzbUJKSmwzVXs9f4sHwN11Xq6n42G%2FnuoSm2P%2FAZEZMIbNWQc9i3D7hMNlbJ1IpZro9O1Cy%2BToYYNpU0R6LaVVWh2EAUAHu8TrPAhwjMDeh8nJqQ02DRv6btU2Zc582iltEBuKExu5DnaZjL%2FtCIepC6qMjqUVAJkEb31oh2NWPT%2Bidx6gDh5gqRX9dSgwEMZVw0W1TUKpZNdwxv9kSpChY5Ho74t5LSbfDMYBwSUFMjovN0BSrjMRwDIEUAMTaSpKNoFkQYE8Y03XQdmAACoKS3IswVtovhdpRd9UlxWcLIMwEiV7UkUfQcjyELWht5LNTtFD2QmoAGNychP62lLLEmoCjmRJr6m4RgatBPKSBgJhhSQS5G2VVYxcdgHQokvvAEBALyQItKp%2BEoEZY1cDJ82CblRqE4Ep4EE5QPLchGQkcYaEkusyBOQoJDum6%2B0DYYBYACk3HYiThNlcV8SXThv18aHMkyjwbbPuu31Dji7Yim5rsYUJbslza3JUMWb7MhIhevgVk%2BrniTBa8FDvaCot8iUxHIsaS0oqz6B3yIUUpgdHiYcpDo2CFVfBAwcMbFQ4kAhmiIjtwnxdAeZX1ak%2Bwb3euzxzYkHP0VMii4181ZQjN2WKWSiSh82RTNZRSpHllOa2TwnElt3o8QkMhxyeTVNAo6XhactKn9OEB1fc1M4Njsm2e8pTq7dzP9edLEao0mGmu%2B101uUjH1RLr%2FdV4drqVb5Sjux2cDJf28nrw%2FQxzK%2Fq0nO0oQxDlez6szBRNIcjb3IGIWTXWhixrcS1Mpd%2FAgxhv5MX6srzphHTjs5oz7IrdwSuBQ7YvWtrGDBcMLOvOWVTw3hSefO6LCyGeSNMx7hFCZVVA5gtACq7w5blZ1WScrBfdOkOgGkg%2B3oG15zE0mLN5JGjyVeDFwPCd%2Bf9i%2Fv1eNjMw2frM8uONsiyxMZl7VLxoKLSQ637ysSsnUnoY5aGY2donV3RsfpUDIa4dCzMMOs7Dasvq6AoaRMVBMhqInDZeBT2qywNt9GWM7OZzGO9PAnAVAfau7rpAcl1aDkpnFZLUO15VLURRHqIZAE1Nr%2F2XVggwuIV1GkksSdIYBHcSTeOJD3wuzejMMFPeuOUXcjBBlEapMq2sO5YQdC2mQNYSWAC5p8GnzYQ6ToI11dO5maJn6rghCe58jRZmUg2OLFPNFCM0uFbF2m%2BjoES65XZUuCSl%2B4z%2BIU%2B1hnDunslk0Fluzh3baPajd9YlNkkwbzRDkgqZXQyOKal4SrwzD7d53tbMifVXD3aijyO6cB8a5bHMr7MQZETI9mXqTQLhiNWkZodAWG4YhNRnpOl9gOzXOYVgiYxCAAK5IBmayISHFUkwDOAQ0WP4pclSoRysszDj5LhEgqOLlQIwZLZI%2BlwFG4g9unYAt%2FMtR9GIq9UcrjK85LRmG8qsZoNODVUg4AlVz1RYpcApMtIj5OXRaCl95XRclTHGykSjKFUmSCoImMUg5NCt4imMnH7mPQoED75hniMj6bKs0iL2hTsuKsO7adpd93HlJ6JH56wpUeG3RHhIyxFsjiASMZE7EfA455OOiNAbD0LwJxUt4dY5s8bwb1H5czM%2Bcx%2FjiV8s199Obd2Z8J5%2B8Sa6Z9rHCnn2dS0Y8lEeSFyz67xLQBH7DBIhQJmKe%2F8l1%2F8pbqaxuHVU172%2BA7l%2Bt1H7Nevn0%2FG2K%2F%2FrMbiaWxeaYJF60kf3Srd4zrvZlpKBvrKvZWWN6L00aMSmsaKGGVQCw2U1Y76v4tpXMbvPlnk7uZwfzyfzqtryvCyfZnHoe9Wfc2v53f%2F8ZjlzJYoPTv%2B8rKX7zfHgxRuI4jiLMR%2Bxg4enQOismXZOPXRLDsxdao6Kc87%2F8Xnf2bn%2FUtzMIdv%2FYKRyfUM%2BLTlXtdXeI3X266csj5KI8PPX%2FOyNlX8w%2FuxQW4iY9wgIGKMA9ikcorPkTvqTVlzmqKRqn0uYIZlLH%2FZ5fUF%2F82j3Yu9i%2B3NwQ5Z5717UeaX6VC0KzoRXVQz1pqJLXSaqPP30WXIU6p2bvfDsGsbVTtk8KYEXwAgGPD%2BLomYb1tdCXsh%2B1IGUG%2BFgMQf57YHVUk8PeIFv0bhwYejX8kPgU226oDSfNDlh8JJj2PjoaBkuvX1uJ1axMMj%2FF83ruzr2cn%2B7vDyfJzHVZMlgUc7%2FPHyHz%2Bqumm3Zo%2FV7lj1p79wV3%2F9cCXTxkZAdSgufvADP15OUTutu8oouRA7dN1T2vCECE0KnnFTXCD%2FYvYF%2FMPr89Ojg53taXj%2B1%2F4HrIv5ezvPVk8ka8sy9aOULj%2BKnl0HHJbSWGf4DqRnvzWnv5o1Vz20dZycMNccqRDTnjADx2Mbjv9bCvf9bGqu18iF%2Fi5nQJIFCPe3gWCCJPGNWHNtR8ZwVq2mZs4RIjMcNnyM4XsZMj%2BGMRyDuI5gHpCzRW4w7YyV2YUwlD03cJP4nm7riOLX2i6st47BBAen759Yo9zovggefzbjSnSTI5HYKRzRNv7Du0lnwerFVwuRTuSYvKJ4BZoalZ4lActRhSEhS3ZlKyhEhTEKDBNQ%2BgJbW5zfizzsDgAxqigwAL6IOuKPpZtEQEBAVAXolm9aeMtby5REBWhon2HwwgsjQLcIzWZBaixUUuWX10KoAggjAQR0xmLLCLKQR31t1UQWrjAQmN9wjcCPuNVbw9M9D2hHRL39NJk1sJ5FvXxez4c98LQxD9jMXW9ua9oY%2Fk0aifya8DamHvYWT5pVbB2KJpp%2F5Zs0g%2BwJNCvL2VYc93I5DtT8kNIkoBYANaax5L0XuoMwKVwYJPa7NHEdRQsku6UjoNDhwGD5R51OoGrfwmZnBlylbOc0tk1rwTIdRLcZIU%2F43lU3QsXigOAz9JPqJ489%2FIj7gooXQ%2BAjo2eC9nHcDz%2Btn0Lm90EPOEELe%2B36615%2BllLQP0lQQnq2SUk%2BH5fOtDxz6XQFQZYi7J7SXbZjvutYs65gYG%2BiR%2FXQYV1F1DRWhMoMZ9vKKHaluaiCsrW0HOJVJK1TmZtnwMk3afTNMBk05uFYq86LkdYIs9XJlchxN8fDw6XnLLNXJ34DBBQOC4aML1fzuEW8D1BIW0iWWaYLQZVkVqlInPMIeb%2FttlRTqK44I%2F2cKk40nBZXrLhuhtD3JGQDR4R7vMZDrLwpBOQyDO7epkwzElsFbeG4IjdZM1kpnvnWyAvfNsdJhZ4xqvsMePDNlR%2BuW6h3G9ColmTTIGzeGhF9xD335mkTpzyhl2dYhWOiQ9SFSkzSF2wbJBeJBvS9bNuPPY1YMks4s3p78ieVFrlGBYIIphGbypgZUAtUKd0EeUGWOHtn4jbHp6TFOGrp1SdKu40LFh%2B5trrP%2B2521F6vbf74kKtPnyZvWM108DHtt1WRxJ6jvSqvhhM5C3TdCk9VT8%2BSVpYAwn91cTLhCTnD7eA2ckqMbMSZJe8saBqE9%2B9qGTVL836HGQ0NmY4dXcRsqu%2BcRJtxKPTXD%2BZjednMcaink%2FpROI0lYRLdg2MAt0sEYRv34Q8NnS4SSj0nexWQ7Rd3pVGywixWEjl8cxJVyXxSffLLbUMnxSJkygUJX5JPp1GyzKrTe98Q5kpMKOivotDLuyhYFAEAjq1shWebJQUBqG2DKo3vVaORzkREuEIZy9auPgobzSMcPtmuQQl9oEJ0ToEtt47QDelblMvjNa54TVYduyQME1EKUzUCOtOVpawnsCPdbaqaJdWIY%2BxXfYedwOLBGlyyyCNumzWrEJNihMFHJqdNOntHdqzVN1eWJAU3GLA266q5TTVLOdAtWpqPB8Jnv6Q0H6MQnr8TfVPxYf3AasXUjE%2F5qVNFMtWuhnp%2BdfYciNvt4sTMKslFu3ACrrJptbr7voQUAzZ2HQB92FxbwpUHqzbLSVbroGmnrTtkOe8tG%2FgRynC8yGwBW3PQrE8ICvMtX6yakJg1icuxGh8NGZJYe3Dpztkz3Xtfh9xu1lNbZ427wurDar2uZSoUp%2BbC0YEcFEfUmTOKK3qz8QFR4Cv5oDLnkgn82MVwTIRR2XHCEEYoTSQQXr8SQ1UiR9FGwTu%2By4OvyIwUJ3MRk2eVKho%2BwBEAOX4isDAosYeQws0fL2zwI%2F8w%2BJZD4uyjHOtREeuBmTagFCohfDQKn4MGe3EK8JbtPsM0sFXiU91DhEsmzWQWjfChlTABQATNQH5xFvkyIOhWCB%2Ffr%2B7dPcNpYrqCBz4Yd2RcVUxjrfa4vMCGFBtYsjA16FU53jT1nAs1RshDtkb2IETmxqFJ%2BaPKw7FUVAz6117ssrB14GVhh31VxJHvkloSQTuGnBExeoQJWMtRRbCnA9C44M2CNy%2BIBk8OgK7CDwrk7OCor7nR5fPTW3Y6IbY9%2FS8FWS1m0kAYsZFMKlpVQI5QnU0gXQnHacTPhvZVjqVPDnVadzABYE3xdj7ETBgTUAEKQTjWb05IzifFdmuQFHvVXXIMENaPTIqaT46CUzV0HK%2FZvFPreg85MhEFxJTCwOxEmhDW5%2F6Ss4rZ58CKq0Bip8TRwPKpQPwrD7uI0eBmT8U5eahH76abEiwh6IYu8rojTKay2jq%2F9y0J2yWB00gUyl3ohtChk%2BgZPQySRSAl8gCEF6Wcp6PD07VaNBAODw6Gs6nLsXqOI4%2FVcaQ89JYGclSSZvsaIe7zyaSAi4aj9m8Of2xWkjFtFkWcimDfigIRhZOw8l6wn4a76jqKSF1j5ExXYv58iYzC%2Bl9mxNbXlWDEIhbvXobXzroiK4tfoatBQSgPMt2AH9MYjvHV6CrcGGG4n0mAWQKlLqiMRUhz2xhuTAc7HbEfmbBanU%2FFjWwYr3Of4410grbZzM2lvRQZD2wzwFhbJMhttcTyLA5QaA5b1zjooW8glgDrKXu2UORJRHUdIb4n90JbmzWLLakT1%2FKyMSKTpEpVHjhrQ39yZiU5NzNTWjF3nGOUHia5ebIDShcU3uk8jmkZjlvyzlrtfR0mYSYLsXZujZ5GKtLgL6Ohp4sLbmMqxAJ9AIdTN06qv16bWts0ywLoQN93Usr8EvDh6PwC%2F0Zy83ivmOlhAWaj2GY7rWDmg8LwTKmzPXXJgjjrpHLnGO9cDEu3LSxstlMGGOsof9yO9wjfP%2FU6Hu63j%2F2H%2BIM9FFkUOlZX8IEfDjo0FZQlOVlXY2EqY2OBWlFAZAbPYUPEZ4RAw5vw6mlybMlaY67B0B3oKRP9xeRzTPJwPMsiDznzPoLsaC3bfHTcwdlsGhLp7gUBiQdcDGN4scXHe2WqaqXacwyEKowePhEJ4CS1bIVsVJKBM7crDq03tuSHATB8pny%2FRXSzs7HsgS0ct6aIm629vNlH%2Fcv1IuUVDUuKfU4VG4%2FLeouEYAqqhgCJ3emKOEzcIKQvAaGOGS5zjWzOAPN%2BZhfCCQwnbxKzF9qIxU7UxluU2jPSy%2B%2BdjDTY%2BITsFgWZJRP7vpOEkBSQvWmMF5QQaQBTKnqFHnoN2d%2Bfh%2FOm6014QL5VPfGpho8j4WFU094%2BnNwNEUZkr14YngUB05U2cV1N2jD5UoDwCydE0Nb5YvNIDoaLYTiIQ1sn8bERR1ruR0sNGj5%2BKAvT3S75BOk46feBkHxwTIIJa0V0C54iWUq1uSvy%2FDHSPPgFTMOxNWiUyyfngZSpZWkwtguCJzPTiMmZ7unoC1OaIuVVTFWrbqIf9TGPXSB%2FtHk4DorOUrx%2BtDVpWrlXhVicQ6zrnCxzjHCnJyAXTLqf05AGYZxwpK8Kbn76dY%2BTPnwdZYmi8lIYTpVQYp%2BT4EUi0am9kM9dl%2Bm9%2BuSXL8gH1S9ttz%2B7n%2Bf3eYonnAOuZv%2F3bEX5eycrFjIWSiZcYOSAW2dLFMTGBreJbtLBPZ2bY%2FMrpz44MQCjuKgQ1JGNp%2FRymM0J68NTkv1BOEHwBCkqNT3VGgFSFzTbqvQA1QB6RMzVAMwSiJxcQBEgYkXGGqFpZAUOBD5npG%2BpqdOdzrAOaWGMJkZsUqYt5WSSOGCuJdF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QAKSG9W%2FWx4z8V9JtPNnQLnqYAON3fiFdNtcii3E1A15r617P%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FPckkxna7Z7c9gKACaFWVVFUGBQuIZM222kilur5Fog4IdEL2B5umsxoRLQb0mGo9RuAU7JzBJCqIDVD5vIRdjwizmVgGdPaELsnabZWEyYbWgkovNFUsUYmqZKPZH3BmAdmwMiq4KolIFm5EuNKqklFUIio4CtHsuZY%2FDF4iMRNhTBIQDlYFj5CTRI3ykavpoQbCRKStWKaZLlxNTXZhT%2F6f%2Fb9gkvNX%2F2%2F%2B3%2F2v%2Fm%2F%2Bd%2F%2B7%2Fw%2F%2FN%2F92d7mwi91xg0zymV%2BLQ01c6Gdj0ViW9QW7f3z5%2Fvb%2FY36d%2F%2Fm%2F%2B7%2F7%2F3f%2FAPHYDkpKD1ly3Nvw5aEae327d0FQUWGhkpKrB1ZAoKvq4kqoOxWSQNV%2BVdS1mcjMjfzcmz6mY7216TShdHJDzh%2BQyI2FDV1DvDVsvGW46XvursGtDr1FfO02kGeqhJgYf0Eu0QF%2Bm331FKEFoSVb0Ee0ASoKIiqCOcWo6UK31mW77dZ5u4W7zVV9t1u7qPwe1VxVTScnVZk1l1NtCRlggAAD5LFq3d%2FpeyJnwpo5ckYV3Ob2A%2FKAA%2Bbuf67%2Fqkpu%2BAawg9xID3oIWM2CXz1OzfELbO0PgCmd2XzRtgjTB4AOMckxGGRbwJZXC1ogWfb0P%2FWdmQO7e0GKLdsB416DpMBjRXnQVkX8%2BOngnNXYxh4A6EcjgFmYe%2F12CF0JhikM7njAaeqbe9f8oVBz91JGnkbOXD1jqz%2BdBKuxjiIygplN4cVDdiWD6VjJRe5BlmhmZKBOPY4%2FyA0%2BNDoK%2F5%2B63h%2FAFkhbXOVNqj9yiBzyLlcJS0F5qU5Tq6uOHAZpDRY1tHLwwymiNU1FDoy4ZRJLEYSWaEDbdb8C%2BId%2FaQ78L8kdtyPImCUpUWHcsJiz5WE%2BJ6uMX%2B3wdEcFh8UO8QAhCRtj72kgJc2MTeLc5IROBJXQUB41ReWfH18ZHsLG2BlLR2CZWvrZmZ%2BYqZO19bVydZt6Glk5PG9qaXtPBHHeTuOAXiF1vqI7uK1Gc1T4%2BPcd8mhEh0xTaUGnNZ2CYm%2BoqNy7qChqIawyFdI6LVS5KN256FsPr1O%2FVXITB47Sw9xx%2FyHv5f95OlxvvGHyIzkix5Jsp5KdNAQFy0G7JNlqKjvksj9xDiifqHZScNIP%2BQBwSFP%2FPwLYjte%2FjLeMN6xAwzwBynTxE9bBXXktsEgFLvC6n9SXwGb2xYgoo5yoEWdePfVmhz3c9ri%2Bf1ijtdYiopRSIh6YrVGjv3ttCug5YDVcZo%2FI12PEXpTYDXWjqRjTmEqnMV1m9N9km1YryhAEFAQUMv7nx1b94uDM3mz4OxTFwCiQaH1HuDh8SXcexBEtDnMIDv2WMQVePHbzsgggB%2B3%2F37fiwqnr%2F647fr0NNPYNqsM%2F%2FbvObls8z%2BzcUSiluXRUZi2qU%2Bq9%2Briro%2Bt3N6z7Rk9eT3PP%2F3vrezf1kfpm9Pv6rw4wB4MG%2Fw21DhcO7%2BIfFx9XGncg7np8bvym%2BEPxt0ABoD%2BARqCiQD2gA6CroDsJ5oTKhI6ExwkvwT5w9fs31YN7wWvATyHxkHGQeZCnUCl0DnQL9F9YAOx5WDpsH1wI18PnwQ85hOAjRiHGIZ4j2UgjchwqBBXF%2F8l4lB41DfU00RhC9Fe0IXobx6CPx9PidfHzJDM5lAYlXUzXQaAPBQtJAAWDhpEEB4%2BEIhkVA4tAC4TEJKRk5FIoqNQard6QYctOGLns8uRzcitSwsPLp1ylWvUaNGnWotUIHUYaZYxO400w0SSTTdGtxzTTzTDHfAssstgKa220xVbb7bTLbnvsc8DfDjrkiKPmYLHD0NXTZ7IM2IZG%2FLAxPqAm9AGTYbGW3XscqDNtqm%2BT5sQa217EPKzAV9SMDpijWMKO4seiSHdn8hJUmct1IXe32nalFwZVt%2B3TbZZWMUjtGh%2BuZ%2BDfbKKKHFMtnTOaHWvYiOcjrtM1LVOX%2BJXNbspq0Z2M9QaxENsyzOSShQbre1tGBqTkZMRd3fiKq4UOWyaldv24IK%2FLKlkjb3IhrWmt9c625qCw1%2FdUE4jMXYJrxTidlZlVrswX5zNFA07jdlDCuZQwV1ZkL53RLX4XYIG9g98mEvJRJOBe8LwS7ZlSHH8wP9rZJ1%2BFr%2Fnm5rOJ1PmxyqVreT4pRsrS0G0q3K7P5fHtUgFoaHar2071j4y2O929uB%2BYiVV%2FfBDa8XDmRQX0gjlk%2B0Jdl3GjtUbXZmZVwVN3%2BE6sosgQCnUhuWw1RpXprClYgsdkxT1NsUxn5dibWbsEUeZzIT%2Btl3hes5Xri911fz1Y%2BHCs0yGQ7YAUAyD2D%2BSkkEjJrYs4RIA6wuUYt7M8kokISQ5hyXiwI4DlaGzCVQRnBX9liglPeDzN5GbyHMzo2T1e%2Fdjcs3bsuvKoXQVMwn8kugWO96MzTn%2FBfELXHf4D4USyisqFMIRAEG%2Fladc%2Bqn%2F4sMjxofq7aO3jzVW70aGMoF%2Bbv1uX7OswKb2wf7vnb4fdea%2FaCxgsHBPTAzXJHdZiqevREf2QecBe5aq3VvydRCPcPQZwNu1kIEafAWgkyMyj%2Bc0hwaGotlV%2FqfB4GD8BeJrJ5u%2FqLa3TZgBo1Y47%2BuPGtAfSz82%2BdWB3R%2FGKhZoRpPmImCxPaWe45tdCuN%2FiRG6poMmqrMjl6g4say6NoGumipVsivL9CGAK1BbYefwWEZB%2FiLib5sHwivFh0%2BaGYuczvOjNL7MH0vmyZRWg64sbQ3nv9hHMrpN0vezOeov%2BVpoxyChIk446i%2FXrwr7Fn5H3a7yhMyYxtuQwjtcwwtww%2B7rUza8AYTJETpVKrKGe%2FM4EsSANIJtLXqgDhrxzojoCciyc3STxUTY9AXna1IsehMFx2cId8fbu0yQIFUXVUlA%2F0Gicy4RcjLI0SaAzq%2FU275sp1Beq67W8UMCJSovSqKqEDkGVel6ZYQvESKKvl5wuj2d8wrc8UdZadWIwSl%2FdZmAtBrk9h4ftC1nwNK4ThDw0Ev0%2F8fGtljcu8eLg5TPDZCx%2B%2FcGvn7XpXzLDrw6%2FzvzfvP02zr6Rbv2Y5u6vdfO%2FF0UfFMF2PNO%2F3ngtf3l7VxPp66bOeNsedgr9J9LO7vZ6g%2F5Z856VSw8e2w%2BHN0ZbCxSpsV38Gksw5IYQnxsOdRSnB%2FxjyZH6WJVfK8vG7GHTHFsOvZWX1mZQOzNNpDHw5%2BNSMU%2BvavBmsx4KRWUlKIzndfNG0lrpbwprSiSqkrHBHUzoIRlr8nakBjd3%2FFbIm5DYPzgTuCn4xJmoufvBzmeMmbWZmWb70r0fJbl9%2BNo8v1tMSmaVESomXa%2FrvjGRb98OFV6NG00ABpIxnnRUJAOnpDTHPox6GkxynS186aL8IP92%2BOT12VWE8p7zOvLLY8DL2MrbrJPg5ju0yFZ32MMUbWK%2Ba0kAjzXPy6H8KP%2BYg9VdqmUatD%2FdEqMDBQkFSRVEIigdAbKnkKv0PdukDzKhxOXH1itxflpsCdreg%2F%2B7kjt%2FRQr%2FoVodF3sAUxASEDkWMSdu3rGad8iZYWjDInFi6aFAAos4yEGmiNufoJ%2Fxjs9DnOyWdPXHfu72mi6dv1Vclkwp26fi233bN7bkE78LZB5PEdQ434RQoTaHrROdTpEeG5ZgAfLs0cfFx%2Bcm3UwZbZNrk5W56AfGb5W9YA6LkoA1Z6rcrCgcXtAcKnKmOGNBuuolIkXDq%2BMrH4mT8e12%2BbHwJnNcq%2Bvpw4ocpFqwvqCwDr18kZMwXrg5B0yhtqI1vcW8jZnHPolD%2FOWHoe5rnRaELsyMrOXANDscQqyWL0N2iJYyjgZghMSmZk3g%2FP7mnPTrzLpkVdkOFaiva6vuXW9MHhafQb6OwHPqZQOcxj5Th9rIfJqrFRYatYcY%2Fjqa03eYW7E99lR8WThtJ7OprWOqlKgxN%2F%2BwbD5VX2n3Wxv9yHDJdXzt7nhLyBWPAEdcCR6QNAdAdpvbMSjW6phsTrTLjqXa%2BMKAyv6BNe2rn%2FkQ0DawElCZRxUDyZcBMSAWhKRMr9NCdB4uOCBmwJNBf8imbNEo1CQTIxV8QnHcPorV7OV%2B3OZjYSzyQbQqlc%2FlzMNmM1HTHlQ02PCFRmb1bKcqDxA1pCMmNTv2HKHEdpQJfwybkzKWUKvtS7Ng2aV04sbh7aJbj%2BIxy0jdXLnJrDowxKrb8hfss0fGCxBp6tdVa1XqZBQ10JdC3Ntky0HQDFWVca8hgQWTio0AEgGlK7fPl9tpN5lHOBwGiJCcol%2BQIEkstnRcGZKkYOMhaBRqpdZnxsa4AnJSGaeyZPmknxNh9%2FE938xAwLaIFgayKGa3Yrv8IDkghJdpUHPNFYZEYBBRXmEhWqVfbwwF0NRfDTe7Ffzph3iEKxyKalCFS3paGOu8%2BfpKuxHrEE7SIii8wiEsOkj3fWkErDvCwJs1ZeIXs1fKjUSr2qG8K8BdbBt3t%2FBab9NsVD27rdZVW1DYVa2WWIVnxEMknCpRSro7OJH33cRzvhBaqRpy9DVLtdByjou%2Bl0bJxiW4h%2BVpWENwvOvvqT1ZimlYjKfU%2FUNpLWPN9DAr1mMNTA%2BMJIOMoiSTt4cL7D3%2FOLHj2UyWMaWKw169VYQ5dLezWiGFS6VhWvc0vtGlQ8oWsllL%2BW2bTLaNTobr7l4PISBAE%2FF4TQAjjnOqo03cUTNXhPBBaCp8mkDnGw%2FgrTr0VUcEHZP8eKp1LgXaF3jUQOqtKiEefkRweJAGFcLbQbDiEI8jph1TdQ7iR6p1QQU2XRBSm6ybpdjiYUsT1KQJ8OzgVvMD1ks8rLe62iEvHQhO%2BfUGDAMJJg5aROPj3DQ%2FTXn2V%2BG21ROwpykgx2oSY%2F8KYLa6Dl8TjJIwSYANZUg%2FOTxUiSQnu71NTRQIFcNmVQvqCdFUzSOVPi3YbHWAhdTmwkpIC44ZnEtAWkyDP7ha%2BQrY%2FPYCoTJRKxRC1RX1FT1AvI99LXRTk4OkbXFeamdQ05gCDQk%2Bf8EW33HyiVBu7dUyFLxUIr5b1KWsEPteKzJUzXXgMl%2FKx4VjetlF9w7FX%2BqOIHKJ66bsS7vrvhLeAtlYalPMUSnEObe052AgOG9xNh6ArCkbHz78GpiPCms0OwA2t6jwqY5vCXdySpP6QEGXqhF0Vz1KQpso9Ws%2Fpm8w19gLRA9RXKn5F%2FWf2v%2Fb49QxdLhOLbhfqzShmpGYMojP3E%2FX7rNQVV94AvU0X34OtGohTZBc6ZEaOdROaWst8sE5TpTr%2FEYm6HG6nhcyXiW4kAKHGCavUZPWvMLFsK04zdoJCPAtJ%2FgaIPtaC%2FDj4nZ6y0pB0wS5h9t%2FzP34%2BxDg8CPdDSGRP364KTERJU34%2BPVc1LmbctD47wx8af27acAUO4n%2FbvYer%2FttYiDeT79YUAzer0%2Fnnik2BdxYHS4a%2Fx%2BeLvW624zqWcBRX%2FCYW7p%2BaS8pO36agJn3EKIFqTRxeahcM8kN12Z%2ByWVw4rIrsZVH0yZTG7yMraTOIMiVnTukbbQSbJZq3mKoj68FU7NB09FDJi4glM7CiEeHHE9ronC6SgF8qSISvTowXYkH%2Fo0b9Qj8zKmfHW%2BsIwGdYN4zU42q6DzhHfgTApFTDM%2FxCGuGP5Xz%2BzcmUROWas2DzfkaN2qXng6ua9b%2F5a4wSkWGEl4fD4JRHQsg1348v9ahgl6cTxdtzDt%2BPUxLjji5dmWdG9UKp2BTfLoC6i69YpJiwwe0FA8Ho8TzPL4EpylG9zrNHVnfpeWoDqCkjZ3WA8rHTxcA4w3M60DjJblfM%2FagUA2E6FFq9QBRbIJq%2BfbIFCDiGThA2zXOesyzxEgnPHwcPV4sFeap1nyLLMsrLMuSpEDR1XmNFi2Bxr4GY9G5bAMNokFHQTj6FpR734a%2B8sLgqdad0tKpP8GiXgEN2zT8UApJzAVCBeXLXLKkFIGHS8X9oKTejoYERg1UlbfVqVgx315J4I8HLMLFkEZm8ZdP0Vw8d%2BZYEci%2FmF8yiNckNAKqVsEyJmtzZs3QIogdIWcWtKsXBEaXJiM4fqZDKEe%2BzR4BVui6xG98PwXkAKBEdANeCfiwK%2BCAcJdXv%2Bs3AHB%2Fd%2FCb5gm4Y7wU4K6ABk%2BR3wWYhhMKR85OCt6Jt0RIbhJgEU4I2A9WG6LZkZMn81bemYbkYZ7mZX7Jn82b8y1lQuk%2BGepIXWmtSmH2LHDu5%2FHczttCWwtY3%2FpHKJ6%2BJv%2B23H%2FZX3hfGrzq2j9VgXZ46LmAeCJ8ZeNBLIplrnJxzi6LlNssw9822sRmK49JthB6AeoGO63fKB36HFVrgRJHzFSvyw7ZGCZ96PNYQMykoRuM%2BSY%2Fu5NdgSyXRONo%2B25elZqNMdFk4zw9u2Ox9bab4JOPG97%2F2eXL42B1WZNi%2F7rJ5bBISauNNcsV%2F4iRss0ZJ4W4agMqiJXWGOcvq5yyUxQILADlowNDgUNAIiMgIknExMfBJcIzjwBAKVUanRSd0hmZ5DDLZFGkRpVqw00dZJCvwUK9llhqnWXK%2FEt20TnnXfCfE25gW66Of6DBGeyx1367heo1RQmUXNHFDFwYbpJojoY812w%2BTkj72lbNAoC25MnegGPcpQDOXG3xzyPEfYL4z9Gbd%2BVD8ear6LklJ05l2emVImTfb%2Bl3XWhi5XKrtdQ%2Fddqr%2FPaVpx5jnuPzPVg6DtTBm1NqHSCL8AIvigGC7eATB0xP4fV1RNDDAcg8kzu8cqRCsSqo%2Btsh4zegX%2BdJgMznBrHKR5w1LVV6SBCvDH3dVPK%2B%2FgybDpatnzSL5lC52IPpuJYHSLuQdKUAinbbJeQp%2BkzLWkDoqQmGO52kKo2lKqdtYMvUKuCJBoVwV37LdVgNfuUNTMeiawoSNM0mLnbOMGqe%2BcvXR2kXFcyETUAFNgMGGEbmKgZEVIj9u3igDKY%2FlQqZp8uXVQjEXWOLkjadk0pJRlmMkmhsYEIDSNpeR1ObjzKscuS8B2lVgCx9eqsAhTQXTWfS%2Boem8l4s4FwTj0rbONCCrsDmzRbtGkvxinejQ%2FfAJGDgAMdVAwhaeKmH1i%2F4jmKf2cOqU5MhymTbpTv6TAHaPwxYaC61AbuiDtRN5XgOKmO862o017FwhpfltxfMrP0atN1gEzbPI49yAbQg%2FC%2BqyAbKriys1BYMNi9S1LyrgsPUjiK%2BVJq%2Bt9fxJzs5nrs1hTsepq4zIapKBaizWYbTgV6SBchIycpq3hpE%2B%2B2rmJN6l3BZRQFIdG8SxNlMxKzh4GZD5noQHn9WwlnEWo7Nxzo47jNQBmDae0EYM8vuXYzyznzCVp8Ck65UKNVwLpKs5ZD3i%2BoQbVdeMQPihhLmA84pVmTksjJcY6PWvNMlRhgGwUk83%2FBLZV%2BKfmNrjSGyBLRUB0JCHhUml90SoJ6Rd3sEU8M1OzPDnbWpqQo1DgNx0RyvUiQ1E1cvSQE0dUAeYMjrzjWYwz6YrCw6RwVqnMO6agVQEarduCss6QbgSWEbKgXgL0Gsg9MGBayy0yRG9BKIUG3V6DrGdGquUcWIO40bxrmSQfrg6JZaG83GHvf7RIVcQRckygvX8M101dH7vS0Jy27uHKV%2Bamo0K5jIGzVWThpz05xEdJ4xo2N%2BLhRQjuiEWlT6itwSCPyqhODXgPvUpijgtgcI%2FE5A8HtAUIeikDseIPAnAcGfASFdkIrXG7cqKK5ff9UBAt6v4nWP%2Bz%2BV8EJCfVc8%2BJPQ6AYqfJZhAJ%2F%2BQqkIIsJv34S5ocRTNMIEzkNpx4hZEmcOo1pAplNRIG43ydi1QRnmDKUWbAYOplO8G4fPoIUdmZNxKsGSBEfO4hHiEYwQAz85q8pwF2FlhtN0YtjxyDJBKmAnR0h1n4tsLAlCBkIkXZOl5LquUp7bqtI%2FM1JVSqhACaGUmOZJbimxN5EFQrumPFFlkZVzx8kc4jhCsyQDrhorSrGrXFd931IPoqmGJBSGa7roK1hUkog86FaQZgVZRx48xVs0Uo1wSoVC%2F6R%2F39x1CckyUaTNqh8rhanNcdrY1cEV3UwQSKHErCCBB8DVvK7wDV0av9V67WqkqzmvsArb2FsBi31CNM9DLEINgW9ISv3C0UyPFGBj6IA6d5TPOtuu7eauoWt1x4mUn4ClcEsiluNYlvGElqd2S6BwSMQSsDZDWj19TjYVxTc99qnn2uvtVmH5sY5IJESERBlLpMAZrX2ZEBLIjpPm7%2BUDw1ziRtI5Gee5kF%2BpybD6SMv4YCxsq0QGzsT4aCr2snrgYn0Mi77quD77LtgOpT2T8pQVoJeAE18uTc2%2B56RlkaVTJuSjyCU1G%2FpSLgc9Fw0CtjEZfa266j8tftJBuWzomzc7weKPHrrSJUSLJmBvS8kPB6oSDtyIIudlm%2BxdJX%2Bste5RiqsMrLsL9uePr88redDRQSkptbrlFLkEHMm64oQh8RAQio51njctyEFv8nnwswmq%2BXqXVpXXcZY93CKwOIAdgLqNKMP%2BU1oDPGiQg4zd0VNJ225xmtS4JUNjr0jNzUEvnQQWhCyIqcCQQYIbiv7iq%2FVFx7BwFl47uwYgwejH0Fz%2BEWDEtOEL1pQaBLTeKfI2%2FYdIyAFtyZDIBZTlIBSc5YzZW965392NggOm5PRGEbddQeGRqCS8MDoIU8gPgO%2BccG0dFeTvXCEYZOgp8lTA3V4WcSY6FdcJO6mZoWAo2xUq6TUvRGpC%2FQr85lF8kLux7IAcHmg84T2wGoWfoqomkgUc0mHZihrzPyzbQImM%2BmXRLxzC0V69Rd5Unt4pWTKNNrcarbR45rsDd3pioetwZEatCXuCbGmgEvahJEPBwrHNLL4MiECwt7UkcKpq0bTmgugRyD25SpH27akafn18bcAzphtPxpXR%2BjNYarUMYE2wiunOv%2Bs%2B7XLDF6bFZBrU6tnqWnCPPDvV3naWb6EzlCXsWULLvaBxNGUZyiIlKHLs1nVIMcwxGmGxAuvAICu2ZNAHV55aJAuNaZK4IuYGaiqxMpwvu0YV8tTEFVE8kuTasrUS1ccZQOLEFhnOY0o57AkNIfRQKbkmjdJCXxuPTt7yIp27tADWvwnNDL3PmhvhYO29qYcB7hPxiAxh4My2TuCESmmumy2RdaZKW%2Bnytuj0r6P3wPTrmjhZaCL3i1Ftsq%2FY0rzSRa9750DnwR2DENT3tkbCYP0CExdKP3%2FN11qUXlzRF2iLYCV76itEpFddUc%2Fj6%2FuHVDWBJe%2FTk5TFn6njHnLHwDT1pqGm0UDZt9ks2HBY2L08RldjZDptW5nytacR6xFrxjf4s8KMIQZgFdZ1GemUD4Uoio0eqx6wNKPl%2FUX63ojSxVK6c0FOQotMHeiWhu6Yqrpmf5cxrPYUT5pjr7mb71I8TG7D9YLZH817S4e7imwVlzWArS1Ki4hG6nBkKpq4ltOJPANmPvvpNFr79vUCcORW69NASJ6BHxSz9LKRmtSb%2FEbc3bwTLQoFDJQGgHDqFuLqFAXoOBiY1fkcBb01PT%2BEdpkKLEMTMrrkdGsCIPTkQBmG5chZQn4jCkhkWmIH8mMTdSSpQmFAiPtEDbOl2tM5sCKaWjDtSpxQxn5ma61AJEtfqKoabNo%2BRIbOWC%2F2JgRtFQlwmrHBkwcEBWso5qZoR3LqKTLkM3Zxa%2BDwGq2MivQsMpCeWtc3KVtqRGTplZC8LjOq5hj6Q1XI6cx6eaYLzthNaGfoe4QROsbIiq3N44%2BqKmoXNzqgYpqxG7MfgtySR9pM6NyBxhBKh8gHcJeyjveAsGu%2BaGp2zseJQnzd9ckW5%2F%2BRT%2BC%2BV2%2B77%2BOdyx5M%2FM7FdRi2yCW8vkoPDJfXJf79sFVsmdmkv9J%2Bo39UBJVcMw%2BNwRXq9val3s2yaG%2B1atxzqnUGrlyQXZOOffuy9uHMlRBKGqjgyiN3Bfkh9gaDYUbXLN4ir3oL5p6e4k%2FyjpxhRg%2F4odK8s4wh82OYinkoOJDIYCYNBgi9ZxmdlVHHywAhvjEauwRbUsTHLgqJDIH0vP2c%2Fen4w6DcPUMEDXi%2BXsqouou7WIqEsHjCt6MFFGET4PvVo3AJ97ZRJJNzPAYJDFPYwBV8UjnoK1A1M8XiB3TRaBQNIT6I12RPhjXNDFOkWyL8m9G3JN59Kd6jzTGKK8abEU%2BitmTWG9n9MIScPNzWSfJ5bW015jDhgIGgnkWEhIbjYwDNOCIr0U8JvPMt1gg8grW3DVM%2BRd5mnNDM%2BXMtmJAQIfsxOlUss10dUJZPONs1p2S0YZa7K1ZhsQaroyJIBTXFwwusqUKjsbqKKcc39T1JOEk1O85MYMGD3ZudqgYNt70SGWKDhFdiaKQIGRCIEEgeVlKlrSnGX4K%2BDr7qLb5yEbgFQy1nBtWwDL3yZKwCPTetGEzpCOkorqruuiEgzGHvJAPPCk7BLMOM4h99myY6iok5sNB7c3084ti0MSFn9gzvDSmji1JLGUqJsmOFF05IEdla2A8OE%2FLMkRElGJdvHkGWEA2lMDeW%2FyXJQUkmuw%2FyfViyVQUJrb%2B9QFYgpjswdotW6llyiZa2ltyhldRMr6hWhzbaHviC2A%2BweXBIooNd41attAdd6iUqQg5ZNCN0Qujbjy9Pc5A4sbpmnmF%2BltuSBCbo6bJa%2Fcp%2B25Y8vdhB7wQl%2B5y9O9meBbTxoAEM65vweRNO7mm0g6oBGT9KLVEFTrPb7C%2BRqL6YNCeMQklsujSEx2N8hUuoMuU0VJ%2Bm5MFSvB3ItVl8o0MHxbz5KocHT3agy6p6eE0YyyZPhV9d1dCmG5PIqOJZ2cubD6yxG1lDYVl%2Ba%2BvHIb1OcTzy3HZ7YjFa2XzqPA6BMra6%2Fd71V12mrRXGi46BIgU8ukJzFe%2B5tCvZRSI0%2Fmnap1GnGAO1GN1hFNfbbc2rBmV94NA7nhMDYJFr3DNsPPe%2Bhnj8xjI2Hsb8qz7JyciQAAEh4XX0lxiCuI3rhMWM17tX2kM8kWqmb7SKcd7S%2FXZds7zAk66e0IWpQrK61Y1oR7xMSZIRFi9qR85Mvp5QUn%2FumQdAaavvtyUNGCA0NFMAaDdXU1lHnJYt9T0zB1VsimNiXzIVCsiDtZvYFMP20pM79nSL%2FJ%2F0OsVKkevxPEVrAvRcXdk5EiT7yNnDJ10AXNX3CDPk3kJaLJNsHbDhXGnzrvv0qJzqOx3FvRjQ66Tgo2tT1hb4yBHAiWx5i4lQcnqfHwmItT%2B9OisjyjYNPkTZ5vyz7tObYGNvrHl690EU1IcD0VCeag6FqEZhsckd%2ByE30BrfSFstj61FqdUpZFiEhtlTerEFsh0hSUpEPuJjhB8MDR4kJ4kryiwDtfgpi7%2Faf5%2FBlXq7blsxJ%2By4AkjkGKfHHrrAFBUnOdhPglC%2BegYK%2FOvqyvQG%2BroPCehNhsM0yS7%2FsCTjaeGgbEKj873dK3nTFMWEA%2BgEalZpTR1jHfQ0JSNW%2BgUFtLeBuIgD0l1MeidoV%2Bhlm1rRbjvzzg4lNtwn4Ml1LlJYa3g6591%2B%2FellLxY%2BkcYjpSZYb4cowGTlce1TpxpCZJ9n7%2B%2FPpBU%2Blb7EYaZ5j3%2FpaUyDlv4yzHzWtobJzlJqlTTydIg%2FHjFiy%2B2NXPlc1lu%2BpetIS8rJRr9qipAqVoOHvnLKQXpAv3t0VFAtjjYkFZaBoW0YcOs3fGKWuIzQ3JEw0Cq5Y6vGvrPjCiCsUf1FIdT2hnMbtlCzHAS5Nc29%2BTC9Rt3jH0qr3QCV1lYhwjH9hej%2BNktfgqnvf8YW4XPHr8K5q1sDcD8UZfWizbmpZujwHbnUiWC6b7H%2BQr89q87Vl59TMwHGedJVJa3VQdXsm8exI2Tj9VQ9fv3d6ayYGJpMDSUSwqjJYfl6kBcUVwYCNceDmvKTZxWnZqMI48fA0X2H%2BJ7CmsUJTI2YP2k6FhZ76UJCgnsVOygtbO3CI%2Bsg5ZX%2FRapk9D4GQbMtC8HKOeknH50DA%2FBCYUHoMX1RIxv2bDoP%2BvLmI5j10FfztisXoZxNT%2BBsOVVHrABYY%2FJ8o5XW4il2vDZfPrg0Uo4UZzMlpkQXW4hzpxhsdB6yJmbpvUJh%2BHkLzQ6lm9vTHOXccSLS6H1oFOpdAuQCHPrfcUauNrhJbStjjVGh%2B1I%2FMmpoFkTpogZQBPEdkbRFgWNIhgDWo6U0XCRXvQVfWE%2F%2BzuuS5BUzukw27jhnYSc%2F65lXmuROUdvJkmkB%2FymPItdi3DxxqffZyXte%2F1mlW3kzDSaIV5vM8NW8oqNkRO8WrdJVe4ubrDEagmqklx3ZJLtxBgO9fOU4uTPsKaJckYSpZQMLcxfeYOzu6MZvWSAuz8mqZ%2Btl9OXB1GPURNUE3PJh0QhSyPJbSHV1nlH2fxNSfFSbTu76VLNcm4wMNy4vs5686a0aYLvZfLEsP6%2BwWTdC4fDxx%2BmN%2FLEOT7vU6JucS9DZlWdKZQpeFl2qT3ILxHi3QmejcmvslZb5OZ8qiqYv6D%2FZICuX1Z%2Bsp5XTBNb%2B%2Bn4sdVS0GsZgl6CBiBKgsqHSFjdB4PYKcgt%2Bsap8gZ%2BEiXLpMU0i5Li%2FAtGPJMcpN8Go4%2FNlBGveeI22xhFwWfLU9g8Wf9MNtvVkvXe0l5rysdvVTV87dHVc6v%2FGDdX%2Ff8TLnYaNOCk5%2BunzcaYd84eG%2BJ872WiSxH8dnkgBzkDaZjSFWDpEU84ZqzXkdnpHyk2WjtT8Mk6X5ja6tENOruAnuWX6uQuBMJspNWFcXAG2UKbHwf8iGzCFPA3g9d6dEPNgnhpCtoxU5Pu4iCZpyoycMOD1nmZ5Wdeyg8DbjBg3l9%2B80EAZRS56%2F06E%2FI7U8JzFNK2XNkz8R2qoIAlZjTouePCO1Ii5yZsRzhK6MjxQe1ZNW9uv9X4STNLB7NjEzICAx3eoSz%2FyJxjxnh8jAwqeMLeUhcgpjZt2WgTd%2Fg%2BHhcz%2BIYrRn5enju5%2F2t%2FxpB%2FL2OZgpqvdT7pe60k615osA3DZDFZStgTIpHD7vhX8jfDuHsKk2I%2FjYLvFDGF1YZLQ0qF0eOn46qDnjlnpHl7zpBg%2Fu97bVBMxDpHLEmhV81HrSRGhO4kEVkmkLzbEdi79uuZbwQmEb89QYsR5NAF2JO1z0hIH%2BS5RrRFwUNb9qoSDyjzMebyKJ6Vl1C%2BPGyayLeReFBSfHwLCjAQ6oGezEueiDJDbGZlJKZvoQopVK3Ynis0jWFdSHKWvvfXeN14TpRLgUJ%2FTmUXhbmt0KFdh4oZqRNnxdyg09tF4%2BOoIoLVYamIw9QkFXKdy3Uz4LlNJsyTb3iw3lGI7dZX1lbyEAqbeTGcgg41j8wVC4EzZsPFjYPNzDzSoUcSB1XzzJx3bDIeJ9WDwcZHC3viyjv7r0gFpK6q%2FBNNPtfxblfc%2B%2F311e0p1yB1NB7HfM145QVlC7G%2B%2Fp6kM4XX0n4D7HCODK365Rx6K1Y367Q6pYJfcI95%2Bb0f4qf83BPCj55V8k4T%2BNF%2BaaN8Ws9abnLc6Zp1XID4fSQEQrzYTyb82W%2BE8siHmLEmuAlLp1qQteJ1PU1vTVltxGDwYUPRxVfSHWCmOVc5FW6l6tEwF0R18lZRi5tOT5x3DoFQMo27k%2F0OUlibo35G%2Fi80vxg59jw%2FnI8nff2F6F8ADkYvRaebihzJaVtIhgq5CMzzNxdgQWsJWpHrpOhO5VBIREraZsP%2F0RBxsk%2FZwgxu1aZQ5x9SQQoilbXoVZKW1caUmzwkna0SQiMntKIWJT4e8P5BhGcQvXjQJj5%2B0tj5oDPUKaY6O%2FYn%2Bf2RAs7cyWSa0Y6%2FjzXSCk%2FtiTuULYSOYdD5RC6eSVGDoaVJKev7E3nVBCVlsV8DT2MaL0%2BfOS6doE88c%2BHdaHBVV4I5XD0ZlP90mvJuNw50kUpJWMrdJkaZQ%2BM79RWX3L3CfWFC4QLJEQpU9Cz91M4AU7GgugUG2fSgOSg3pv4mnoPqaSyCQ%2BkdAYJoyC8RU66Af9Ohgi7Jdz%2F%2Bqf6CFMtWHGXqmnri2wDxRUFaSMr1gGHsuORFFRCVJZmDv5SeLLJmZCirMpo4l0Pu%2BJK1afZxI08LnuSQ5SK5ST0mMMBFqYJTlAAhtlIcDcAOn3e5o4xv0Ldy8PG6bQctqy3Y2CfRsAwR4NT4PzLCMF5d6pd05%2BcqeiuLJ%2FNHh3EIk4eoVOuJAEAeOu8yE%2F34lss2Zjp1TPuSHut6RyhLp0WLPLT%2F%2FQaEsTWhnKsy4UrGU7FEZnTSrm3Ro%2BxgiEQZ0TSegjvmfr%2BvJG5h6b%2Bz8%2Fl39Hbv7saax3UXd9MM990Gf%2FrwJBr2SOCeE%2FwaFIOYIMqOid%2Fkif4BRoROcjfQe54RQFPhHZO6uX9GZgnGIEFBM2ASn5FWTKf98At1vtCTHrHYqC5RO5%2FpFltUxzo0xM4tmun%2FsflOmwlz0KXRI6qZPUMinTWkQaNqmR2RsqITs0Zu89FRbs%2F5sNR73ORnf3duZTEEA23twkI7g7qLh2CXt5hyll6E3UzyiB3cFH6M0a5OLDRgJRUIUb6Ks2mAM8z5C5PgOa6sT2LmpJsI8%2Fs7nSjHlc1sbBY2GwOHqX9X4YfUfXB9QVyoyhmMvE%2Freo%2Fxb2zGwX4Nrs08M%2Fv%2BHXjOps6DTOamroEtcH%2B5MaHF1Iz3ERRDmqjDrZHFpiWR8ZsbwlhbvbVhtPWJvsXR8RiZebwkX1crQt7EcOfwmvZbXlG8fwTHoWjl59vorq9Fwm%2FJyW7mZNpGToEol5QmYmNwUdQFVaakFFlXjx04%2B1B%2BL%2B%2FY1OJHgy7kKx%2FW9qcIuKMzWQksQkeICuspE8kilhFKlMY8uUBanbOf7HYQPRUGzo681oq56RWg3dHDkNXv35O8zLsOJ08dCAQJp5rZ%2FHjFaqbk0ei6VaafT8osy41pACS1xoHIQqIw9sKTJ3VRY0uhu%2FH7YMc%2Bh%2F51EdLEGLh1xYwGWf%2FDOKaZY1DwHIr5KONwQMo7tFBRvXlqlBmsuDToIyzbReYT0%2FhxsUJmwTBU8nNHr6mNomQ9O3teycK30DZf6%2F%2Fp3KRDtj8ayI5Veut5E8UgklFK9mcuWqixl6IykElEMJGw1Yf2GsiTYJqFL3Y1FjFu%2FoAWLLVuwEGfRPh%2FYGnWPGqfnL1tvjfxKDIGCtc8Ptsb4%2Bs3IDOdfoWxx9zdOPu08l5qplRRihCIXTiOjZHGwdvp251iZicOm6dVcG4JKHVdOzaHp2Ry5eXZHH1rkR2CmzeSgEnF1o9DoaWNw31XFd44MNSFy4Fug0GWIXASMH7EFgdgaQWxJGfRivPQ9dV0PrDKJTMIluw9sZeBSE43Cy8XmDbMn6%2Bl%2BY4aXKpMUkwwqqkPAI%2BcDQD5ZIC%2Fhb5zPKevzyX67hCcKBXMZE2yczEFcy8JWHGHh4jYctmVBCw6%2FcH2b2vb7sv9y7e9uf7f46LnLTehp19v1Oo%2BzLgN3eRvcdmMqOLlbYpxon9iuJ01EEOoWQo3z7PPa%2Fe3TMgD2o0qiQ83r3tOJg0trVEQuvVwKt52KfjQ6tqjme3k8%2FFFqSwJ1WkXJiOTSL8sgioUuAoVpy1ajiImlnfuhxoSL%2FvY1KEf9uCAf5m46XR8XCJcDSsYecCugRaP03l6EuNheXE%2BYQf4tRGPATSf%2B0EgrlgoBvzAdyUGoqYuico%2FRY8E1QXGOgIPQcnBAFh5KIpC%2FQ%2BPh7y3zIKwhz84XVUdDmmkWAl%2FqIISxbF4VkoxSM3LWte3DAn5rgcpIA9hXl1lUVeUl9yEb%2BA9GwbPjbxNz%2BKLkfG2qGy9Ob9f%2BBFLP5An4WEFuNjYJ4IPRFDUuzRNcsTnW1BLvgNYWlkUTjwVNdF1ITkwPyVPAjZGucMOYFYJS%2BwHLfofPsYIXdDlu3Bdl8X3Vp1%2FsXwq1ovjeyhXr0%2BJCRHn0VBOhWOSG7qw0o4MuBtwp77ye3zJavllRhk3Jb5A337xZxBATjl3bSLUe9QhADuTlmj253bycVC5pRmMxYb5zH9l850MR9%2BLhGbiUdJUM4gPTcVR4wBoRhPZ1bYJ9qYqgYw1zMtAcmg4mP0dG3V%2BYSNbGWyqMYkaWWViOmjXy9uM1PzpCloesalnzJ5ySGHTAtal1U2NB0LZIceAu29i6kQr06h9TUfBznaNcgQcixIukyNrp4coaVy0c5icbBVou7EpXTIfEf8svfVKeouR%2BdA5LZwiNg2YAhybVlgyFTzjTOkkbb%2F5KZ8EtjYQpigLcYVZDOly%2B4dJghI2vGafPCjpC%2BrKAazqHAmHO4pP8MCpK9e5m4GocRv2ILeve59lWkH2XvvT%2B%2F21nbl1j84GbfgBzOTH6en%2Bco0MVg5L9keXgElf%2FaQlZFbK8Y%2FWPcNS4hKLtI7x8j59s4mpYnAxtmNhPNrPVbHamJkzij%2FZVPfXJVWqTZk6kV5HG%2FlfWlTujChjmnOsMN0X56dPLWTmycr2%2Fm%2Fi%2BKGF21EATdJ7sfg6agZoSEVu%2Fp3e1TlNTU1uj1a6nqKrWaaqqvFrtgHJa0cxRsxCBs2J6CLQNNCh0HIX8%2FWo6w4nXCpKdWrWbLJYX0zVWUrO5nLJIV%2B4TKLX1SiqgqbJyeRbHmMDGdIdAJnSSVGnkvKEz2IruViy2ZUoFFlsxpQWLbe2usKWb81dy0JTvee%2FuaeTlE3IXsY8VcI%2FN3vflHGvInUhePjrzqD9ewD0e9eEcHxH5irx8dke4mJGppQyPf8%2FFYnKp3lTKUCpLGfrby3wjltLZ24PH96zopJDhwIoePG7qCgTAm6e2QsMj2KS0r61gr0RQqf7aChPrN%2B82Nkak3EM1GJJL5XKq12D0UGWGWgNWhdfU6IyyYopOT%2FUyI6Cw1bgNf0%2FGw%2F%2FRHfYUoM6PMWZq%2FfpeqqpKA7jxPb1wAB81U8UvXXH9BoTSubyn8ip%2B44ZWLC6vewpo6KyEfdQdz4akw6UvEn%2BXmuGeWnUtCVwBMWDTxPU30qI61LfVWXC9ddvZGHV8wB4zUFui4FFv33kQ6%2BjT1UAxfQzmnPdd%2BfvXzCCazdoU3FL3TrItB3lHVQhVZcu2iV8JLbc994FPv9m%2FFSqF596qFetP8urOxrzLRq6yI3f8QSCQBaOteGExjLyIhs45Pk%2FHslhyzMZWZImpITBc4gyZqcW9SUBtD4lmhLeAKfdRYeyUd%2B10DeYjUkWmINUfNRj6zSw1hYxQ7XT6fsTzrVwolLv1BeLck90sn0%2BvUMhwJzQd%2BMpMNWs%2Bq%2FJnp5zrK4CXedupiO7k%2FjhT7XZiBuV4vIMuzxE53RObc0tpdhfnr8rItKKUSxL%2FfU%2FRvWKJQuRkhK8zxTJ8VC7d7iYsb6gLT6%2FU0X8I0MGpA%2FbuhT9GXxlLPN86Z9xkcK7%2B3yKqgjo%2BjEryCYN4h0uWXD1Zf0WvD7TkM50KvQIgOwUwL8Un9F3NISIZuRQfsoafpdkpdVmpqe7sk%2BFD3UC9lFKR542VKnWpd2bxkTUUHyMXmUu8KvRRfDBv%2BKl1%2BAXrJ2KxEzcswOMXbDhfwfULIkAXHX0J4GOVF%2BIJT8ngPseFrhd%2FVOKBayMITygAAALa4rhwOWzw81Yqulxd%2BMYZDn%2B7r73OUbcPEz1z5jnbVSf4JkR35XjfeFt4pCCXoTDhSyVSkkdlctJEimLZhWKPE%2Fw2sOjYqhiymfz0S5EI7OYbpR09hpszPsKJy2fDA%2Fpf2529S6dOuiMkZP2OvDH2AhYBfVEDRcxArJhp5G5tVGvIJtgMoklADH6%2BdRrNfpeKcdwZUzjG4ELXvm9v1z4pxgfn3qXp2%2BXMNUVraFkS8%2BEnvTcrF%2Bex6JPdGAhZRPQguwprQc6wjVlRMq04E8e5uUzaAJTMjL89iGLxkqIl%2BLLNHzzibMAfXd6yN0%2FDi4oF3H%2BF2e7BnmizTRH7vL6SPU4WXdfKys%2FhNRvuuXbZxtUbWrn2XE6jRstpstv5f2E%2B%2Bt8kqlSTyOIaRlVtcJYsyVlq%2FWcQiyAQy9HV86uDI3FA5MMeK8tUrC7mzyfigSR9fLQOcUSeRP1TbYYyZFXEXrbaLLHT51Di924%2F9K0wA0kYgyffrsqEAQcvYdQUAc30xgIlUABwxtiLes17FZoEKRjAQqDIw9AAd2iNIwNzrSP2IJWCU3eZ0DT6l4DuX7nJvw4SIZY9Q%2BBZ70rAHL%2FPzcK8hgwnZaY3UdYfiYcprkjiwaI1k7cUmCZ1ujrbFsp%2Bh9KuB86yME%2F%2FaKbw1cS7z5Sil6RXkNpk3tf%2F4b85boQa751j71r62q%2BRcHuxeeJ2q4SSwSS9KzagaPJKCS5F03L%2Bp0ah22ngPRDdhH25K0Kjwji0XIhQlwAmQ0NBYGMbyjZ9Gwa%2B%2FuB%2BBAqIOo3M3CN0c8Njw2qGQkI5jQgG6gJDgTPo7fot%2Fi2N9kYS%2BjscvmLeZmmAZPDpLG6WmKehPgtsWNrwha5iSORuHpBJ8NZxSVm2QjxXJZWsAzUUXIbia8YWj2149SRVmULkEMyAyIWWpTcJ8WqLL50mV%2BslUnmWKjMxL0ljSOVyAaZAkMGo1JgvjZZn8KzIrVgVNQkafcd2lJdmZ6zLioB8OpTIuofGZibpEEp4qjERM%2BzzchiIOi1sTW%2Foim8IYt%2BR7vmJIObU1w4q5tzvtxfOwGzoO2%2BCqSLhbMm7%2BlDtnB5jSP0vijD4bhccVypMvKj%2FZ4vOumTlhQwIm5uOsBwikm%2F8neqSRR%2BjVaR4ZTgp9fbrANaPH8pGQdEPWOxjAds%2FOHXiCDkzUyfHbZ7%2BUNTQiLynEt2PtOVUVwO%2B33293GrwYPxyCbVOvj4tnNn0A49A0k8t9Fs2fVhlvcDllcHJpp%2Bv3wzlGVtK3aMgoPhUlKf5obX2rXTZ595G%2BNVTUY3zti7YWvleZOrlqKo7UQWejyUfXbejKjestBwruFuQstpFBc67O5zXHtW5q6tr%2FHTZeCS0L6Spa%2BfMzrE7m%2FpCjoSys0ZebYiKFVG9f65FNazaOHNj5dvxoiyBCLM%2Brzg4LJgnrEHW%2FF0TAlb%2FD8T0703IMDWzMItMixY1LFpgWoCNbjFlHQFGHn%2Fdf%2BVGWpFaWRs3c41O0paSuVPMJ6kpfo21kCmRuJlvkOJX3xa7WaWFrG35VSyIqSwdi08vg2Vdn8KXjsem%2BzZ1N2wjfO%2FqRlixfjhRhHCHitbwqP%2FkZn3FzkNDQckAYMuyrKcre1Q61BGII85Z6YL2ANAl10s58zGg91OdTj1T09DPMT5ZcgVNOH2xPoK5vrl%2BYxwB%2FdzyM0M547RET9yshW2wF2KsgyXHlMCwnKOFWyQAUizPgNWJWQsulHM3EoBOABqls990PIi0I0gQct8PViEZ0DJtIZ3hWxMANPkUY38CSG8mpV%2B6tt5H9ChsuxyNGFhqFH6cfBWJmuTckUB62TZn9MH8YOiueJvSBwONxM6RQAoeoenRvhQ5XUD7XGRx6Lmmvt5Pn6ig5q5%2F%2F31x%2FPC2Z6TLQEVG%2B2ehlUmBFmvnWJ2nGwd7PtThiBKIggPgj%2FPEKIlSrwHSoa7feQ5rqw3puOfzwtKVDsGVgoPYgTRiG5it%2BGh5qkAV%2BwWehBwEmiJWCwiPRAjcFXnGH%2FOhKuIwmEgtXcP1Bpqz4yOXuYh9EkGo7uS0wEyMPhVCzyLXSzDRj3RvGFWlidRd%2FPSTQEutBSSy%2Fo3paZbbw%2BU0HYrM94wU1OYqV7R0pV9aLaOQFP9McoLA36EA70gR%2BQmspfwAd1wA7wMj9A2eNC8ACNQWpZyV1y3%2F%2FjtN57Ghjfl8%2BYRU8rCkvQV9ZUvg%2B%2BUWOL2ISQMIMIPZoWSlf%2BAbbtvl4LVt9pDDaaVjoUPhzXpNh%2FXVId1jU6IPtLHYc4qazux1DsLg5xAb5jGBchnMLNqojslmnfagvVgD9bKFB%2F9T6WRuDeBd2CZMGI3uoyoCp4HUnqbiGCfvyekDQME4tGpDz7cBg4c5MEAijKYpibCDIHWE1yGpWFu9mqfmnJlA8LRGkpesAwyOcER6AAPMhJ7pNi2FTKwNMx8Logoh2nm5PT9hXLK4EHYzTz%2FHfUuxuwPiRgNC09RCzzm3DBhtMAa4iiiordSzlhmb2IhpmWjNVXvmwjc7xVjkAIgzbKjXs%2FRTzOOQzOMQzlkQ4DxeMl4UBv7EhVdYl6ropnYccDsoBGCA%2B7o%2Bn2lBKUZsK2YzM5oyBcARx8%2F7zXq1nA45NtVzneNJTidzuo9Sl%2Fj8xNRQn5Y00FyWLmt45YCaaN4DM0tjKZvy7GUAQAK5dDalIOCwgU8Gl2CgHK4zmroqi870cix1GQ%2BA2J2hW%2Bie%2FljdrCPgFoM1g55zZt2WAHaamacTynxmZubM6AHappVruT9XAA7CuWIWmU2LmJvUJg7wKmmCNpBDkaK5ns31HxMlQPCcBnVO4wfMl%2B9K47CEAoTERLsu4ELQrUHQEavdtmYNBSxUmJOLW7yJHpkYLvcNjXWZ022CiKAaxQwTBRELUrSa9sF5RcAg9SloI9iplnBRUskljzQX2EnObu6SZtCJAoDDSMNqBYcWSSTI2BpFzIPs82Et0e2OEegEQaC2RchR8Q8zHJh0ZFLQOhsLhgIPxjbJiFCb0YwzbcjpchLILsieGSb7YAZAkkJLnAhDcUSd9PCKLzhU5vNTnkaB6xja3I8fa%2FKMi12cNda5URBeZKeomoOc1X83t6Ip8nTM%2B0milXZEOj15ANqxDPSEeI1PrCGeltBXBja8wwcw68c7A%2FMEwTcUavtu0zwDjLtsk2%2FgDne3zKjDs02pCfNkv67gYnFjSfG6MUsk9WhwEfMony%2BiftdSQGzZmuOceXodhQOEfygxwJ1H0AmNJH8kLW%2FY8PXQu4kNLnYvaawf%2FjoezH%2BKjusYMJN%2BK0FZPqEsNuGti2UIj%2BvjCU498hnrpZVU2mp3Y%2Fa%2BzG1TzJbbjR7f2MCAZpWzBEuQnyDaFObEdgDfxpn3KAO1380X6sus6cjgx%2Bb049wVBAITWYDFx6qAa1wLpG4Wu8tViKEP7%2FNMJ8Mnlt86WcF0PQIRc8Xby4495Z%2FdaMrJtJjHo4acy5nYaxxqiRcmD4iSL0Y69KjfP%2F1wdz5uN4tZ%2F8LwAsnuVZZis0OcY6IhKBwOW57u94lztFhWqEtq%2B4DoralrhdU8Gn97agNlZJW7MCUE3ULJ5bACv2uS2F8Gy4mnbVdRBpYs08hln5Qkj9%2BrPkEbqT9feNIabUUAmbC4KMc93A5p4LTLPz8Ct8o5YSaL4YjwaA7CGcQk3pKqhmpRFCkYpjmeIq3J22%2FVIKw%2FdQx7lEmdp%2FeOyDoAwrmbO3s2aOTGASx3GAAGYMPBpPMsE3XjqlWsRIrTNbzizVq4pOR3xzmC2BcclHOC%2BYlUMjW5NcTFRtsl8ZaPGCHr3pdzWhzu7N%2BI8k%2FIxZvXlqFMv42nNGWOQvAjpRpSaGf0wYkNsV2%2Fc23tKA%2F1BTWZW22tHKEj92B87Tn6WXt7%2BTKXSi4IpU814J5sytyknHUU1PU7MlHH05KYgmCSZ0ShUNKJAoDHPKD7qgjBbiY%2BzQBOG3skhGhGVM1Gxp%2BcNZQG9jBaUcGFUruJCc%2FQaoZpVnM6M90lSLmBIqIYBKz3HIy1ohlAxxvE2aWUh2C5H6LuaWY6QQL%2Bv72aAwRN6iIGltn80gpkROv84Tigvv92OI7HqkgT31sdEQM7fhj2ON39cL3kotkF0czCrxnlhdXvqcwOL1k8DyCKsxB7a8JXictFIhPENroAD48lPe%2FtNTwLVlqAi01ligjENI2LW7%2FR6%2BXhVMpyZKdB1T7MsxxNrKuldo9MSMGgxMF%2BgHEhFEQSU60ggdmkA345%2FyXLS72%2Fu564L0P4uNJ1m7WPd3enE3Heu0fLH%2B5PVwtkOo1hcy7Ae1RfK2utAjqZzKkWbEoats8WpGW8iFimcoGCGXLf9t130x5Q735ulgJHhiX1ncd3jnvp4Km7PA19xyq%2Fx3%2F6W%2BX2JhzNbjyDRTNH%2FhW59ofzdkNqRAeEFGzEoDGCyzEAg0ztMiENqV2fokBapbCODvj59GeXk3LZHlYxrltwybzpCPD0jb6f7mGAoamDCee2Str%2Fskq95porvpr3BQmRINblBQFCYheAVwrIPviPiE2luiLPw0oMLZjNUIA7nnD5uWcH%2Fay%2F8pI2S5elBhTsyakPtWR1P5UCycZmGKtzSmMYKtHBIqfkBf2236pPuNbTlevAdSvFHg68MIFfAIAiZ55FgecY%2BmrpL9vuAO0O0I1EW48DEEMaBjs6%2BNaH2stRyodnYqKDDTVCRYrbwVyzFPXLT15PttViUqUd97OxqZLItdWFj%2FFjRwI0Gt8SxVSM2KL7PU77v8ms4Z8o8l8o1ewUgBBYltgWA399GhbyaENWEVJtRA%2FKyI81GcirEvjMeKQv9wLsBmM6fgoAMTvlz%2FeId97OTDcZFJBjPX1w%2FiBxmgtaeoZ0eMV0m%2BpiqAOpjfAYVMYRePT15jyxvD%2FU8kXXj42gD6YuUQOHNW%2B%2F1vLG5Gp1sENtx%2FgK%2BwCb1Hm11DhkgIKqYozreS4qT93BGzLVoUJ%2FCy54lw5NMm1q0d2DHdIKhxsfwzKCrHocx8zTsmAGkHQmPUnXRivtR%2BMTtJBokWNLwp7sfmC0jHlrOFw4BK4J6gJhI0sRtD9VlxPVcjQSuxKiO7pIY9KVywP5qZOSRA5p5uLp6OY0Ql8BSDMzPkIQL2c3GGQCTAkGCJp%2FBetmXDRFb%2FbEBzlNBvTGXuy0Q8Sdj0BggMwEtIyfFN702iulUQhi1mcAfOUFKJAJIWA2JHYfSzX3eTlEEzA4BBBonW7LCFQIOV5n50Qn1wACSLxYwuFPeNK7y%2FndxFWXq3C%2F42h2t%2FDqOY27y2E3dFkC745CU%2Fa5q54urlPYzPDvSEwQ%2BGtWREc4EZ%2BM0lidJdN4vpcLAHhqi8yzfF28TEN4vqLj78FDuuVOz1SiAXhU%2Bw5bi73Oa71Gllh67joqIwDaaaGUYHdabqNlYle6Toejw4HeMpB%2BuYxc4hm1xbMXAF3AcIRgOl6MqAzhhBUjfrO9GIHArYQ%2F4VmPTYfedVB%2FelbwmKB%2FbXgtS5zO7axRUPVe%2FfLSi4c9aUnTJUUJ5W2DKvYkn0RaULkCLrafxKjdS7xKVp5rmfo5Nlwz2xqA03Zp9mWhuuWbDSNTf4vOB4rm5l0uQmKRJyPkTZ%2BEY9juEJ1xUiwjLQ4VCJhvmGdLzdMNdcGiBdw3wFMEzGH%2BKHbBupeiaw1eGfJF%2BVUojT3nmnFdTnA6rldD37VN7d7z1E2lv5%2ByVuyzE%2Fkyu0QlywWV1uFm%2FgEE8KP7TAiDZnqmGY0qg7qWDfoRcpnV90SHDFqfJn9RuFcUqP5BqWsc01CpefgDX9SyeZpMJPZCQBZy%2Bpl2hJGfcZmE%2B03DxfPXTjIdkmji6Yc%2FxRuzQbxMR5SEpTNh6pWEefp97JqfHM0pz9lEXAkvV33fi233XW%2BcBYpX18AyhPf1%2Fdx4LhatLf78hDXUDoOlyzt8791azossCm1T%2FNA%2BrAF6VX%2FfNsx2U2daWtYSyE9riARqWlCrOR3UI5cC6Im6ctSx%2BkWB%2BvRxkNG4dCwXDDnSEBjAsWWuluFOKyiJsdqLzz%2Fc7TZjb%2B70pJH3GKaZblEnAwNiQ22%2FFIRTPIyXXNJPhRIz1WAF4pZ4Ls2Ihe7wnHT%2F%2FXQocs%2BhM6i6XFcOo2hUpd7QHaxMuNGpPRUx9acfknlSCyWMuVwY0X0qQKsDgInQG95saKN46%2FWjgmniD3enOwwiCRyN7EXSmDlnZyNT1PffzaemCGNEQVQtiWe%2BnXFdxadK7O2Gqo%2Bc2JPB%2B9jEdMmoTDcBSEyXt3axgLbonxbyHMWb96nYK68WdA36zdlsWHNMXEOb1URsjMt3Z1FzfdwwjOrzDmMr6rhJ3nSrQh3TMnSRgfCH99cr6ue%2FWffcM%2Fsdx6tuq8LdB4YH9qvTrPiJv1Ug2tI92yDtt%2FDyqU%2BMBhtxeKV1UwnZ6PwvGSgNQ5P%2BeSbRRUPG2maBrccVXdhexpMDk402jQeM2Iq%2BXwgT2%2FyKCSuifOF4F9znZU27xcEZwvg%2BfaY%2B3mih0NQ5g9eBAjwqYo41vOViPi3zZEiX6Uf6MJYXPEhUg1UcEgWtdo%2FEW7jwEFccHjB%2Bafxvb%2FWAilLw%2FXy1o2SetoUpnz%2FnoO9mX5DmoHhqQ5bGoS6sfeQX4osfx8uC1Sy5OtxkrgMCgZ1TFwDWYcQeIkXRH7Mz%2BBP%2FtOaWEiY4R29WY0AQBgKYhV7llYpohNRB8Zg4QD4GAhig%2FQWm9VsDP3NPemCi%2FJvoX2DlFT8ar%2FG0U4OFimgjXAAMH6J7BsRVRMu4ftugvv7UHNtj4rLpNDY88Y08R4ef7HE6lmpEvn3DBNTtHMmX4lOavWxV5cwkOnqW6op66NJaikuEfkw1T6eSmsP%2Bcwi7KtxTLxkbX96OwsCx6GyFKGYQaTp%2BUMSaGBZ6De7sUgDaSbxr59YLkvVm8F3hm0Y4Lo0IXpwY%2BuURtAYVgmuG%2FJ9G7TO2W59OHDwXKdenQHaYrRaQTmwr4JcxPCMdPJEN7x5TSd%2FEAoC%2BxNGFKPHC2GtVH6AEsTQ0mlwv5ir2UiEVg%2F5Wo3qwNGWxqPXkGBLBUyIKuq9ntWqOICILcT0MESYQ5VgW6vzSOgLWpKsmznirmGcUwo44CtUzWAPZfvzrRf%2FtCACT9dj6gj7Qy7Zh7MrYZWogTsJSNyqmhFrpJ%2FFnuIufK6I6%2BR5jGjtJRIhGUUNo8HBuquf%2F0Vd46eEVFi9aKTYFIL4YepSixYygUpIQZ8kDkGvCcHAl%2FbDAVCBPEXumGCC7QX7otqUqoh%2BFtjhPzf9z%2BNcOg8wduTjzsogYnXNg%2B0YSBxND32OrYdsTzk623haMuD5X3b8ExMzyPiuN7ptFxxdDc2SXRYtsJRgI46HMAICQo1gujArhHjYh4qoEoSkbI9K%2BxQPkiTcvNl5THrD1xl3Pc2%2FPe42ZeVRZzMZiV%2B6UICAo4VjwFY4BFt%2BcMwERS8DTw0r%2BWgZMwaccqcWBH52yB0NXlWnsH4Njp52Tc9%2BllVFhEfEtmZVur0TkMHp78hlxXm6F2Oaap2efOynhUfyANkbkS8PwxDgGDUgkHW8bR8piAdMs%2FBlienVuIs6%2BvOrc0JtJsrphmJZVf2elLz3mpdbWYuyQIgZtjstCz3pIF6ZsBs3SkCyMq7UsvXaAn76aWK07qGuOS9%2BVV9a3fOqpxRz121fc7QvPnQ7z2%2BLWt1kS%2BKYuVrm9K9FHlVbeP1XsW3SfaDBvdvdVQt%2Bw5BBSqgy1gZiWcCKeM6jOOs9kPA%2FouYEF8ByXmqc3q8hArXCYoDqywKzHth2ar5Y1YQ8bB0hUsLAm4as7Th0JaMQogy28FLUseiQxceqJUQtLcykZeHC77hAxLzyta0D9WXW%2FW8nz0NiUDR7xuBQTV9sTjlvgjTO2%2BtOeqeWMgVc0P9IV%2FRf0OxQki7FQJXADzz0ZhwKucMiLS0EYNo2jRpXaCWgPK70Pbki4GeOIqlADzPNWhWN42jC9zcwCvnXqDER%2FwbhDQ2WrxH5eKkiVhPYSLaYRjaTDZFI45wm7FvXNV%2B2u2xVZzEbRIn3EM98OtHaR7h002xBNLPzIKI9LUhke3T%2FEts9A1Os9bnN48aRDztMLZU8GVl9umSAFrZFY5p6DyDBX5J5QoLzuBSVOsUjRVhzNp1ETN9eFOlx1t3Js0sXuV9pS4P2%2BrkjEG0hebCYqkneVRCbGVbnS8Ul3qXZl5motYDYjuv0w3Allbswk19GUidHIQdoPEZTJu7DJmRHl2BulbLWCoaXk6TF80hg0qbRm1yMqo%2BXSQ2mevrmE2Fb4agxp7bIb8wLkGZOB135BU2GccJ4xCh5mRi4maXjtUxJk%2BtJ4yqApjYtrk%2FtGpFJwkHBrdaNUj%2BmV10vXug7q909dXrm%2Bsl625%2B7sJFjcuM2AX5TTwxuvMyz%2F%2BypDUr2hyvIJsoav5FVAo6NgfYWjYoBy%2BdCgmrgNx4nPL4wT8UUmgrar8YZeCvc1re3wHueiDk7gWPReSk3hNH8eGwxp%2BiusjmjzshTFpTtW2cr3NN%2FH3PJpLV%2BVRfQ0HhcbxrFdE4N4k8Wce0q1y0%2Fm2L28EqLgJNxpW0C7t7zv4BkyZLpwU4lvj8AeCAbZwfeKYrnTHJqqxSq0v%2F%2BerFSA5z7SGzWYcCgrrJ26VdreUg4FuycOk5vHDe9bNK5Lr6xmjpIMNfOFx16umhMIHg3Xls9I04O03xxhAHupbd23pGDzC0Xw4wTIdgjif8MKGw0Q3m2A8StZxSNQ%2FBK%2BoDQjNeKRbciRGv4ia5dymaYUWWUwNYQzPiUTt8PSvkL3vcQ3HAtaF3mq%2Fpm3Asxqc0cqey4TND9aeT7te%2F1vfnW6nW9HKYDd2v5NLkJ67ritsVbHTVkqt3uAo1VvxH66fJsSez9O9Dk5yoBgGDmRGr7md%2FApjxG6btJoQdC63xZTLCI8zwj1zdevEYLy2Nvt0NF2C5yeXi6Y4v8rmBp%2FhpQrUjPB6FAyRQteQCGhQGg6VUk2R08DoK9aNSOglfccYBRNh7MAlxO78NGBwuCV3NC1XuKBHwAwsf6WZWVbjOstI17GYgi34FmvZD6oDHXU6xupsIyrwkBWt52DiUZ2CCbXLo2K9KkxeR5mugcx6M4oOW6Ph916OfZN9YCmYYQPWx%2F0D%2BoW9KO76dNPenxhq9YNNHrgdFpxrVUJL1WuikZID%2FyLGLiPU9X%2B4yemZ%2FZR7h3h6ZGHygzX9cDzuNc8vVLNyYmaJWvJzBkR4dMn7lVKwxWH6GmAlSDy7jOLcO8moHPsjYYTB2Jas%2Fslv8OLU%2FBFlh1xOzWtXs5xwHfio4NW1Qk2Km63LF4vwaDTlO51br8UvdySBJcGaTNClwAwsADjoaL8RCqt61%2BKTPpAAWVsJo3XumIuZ6irWT8m9zA2ooBYiDzBChD4BfRHtk03UAu%2B46%2Bh%2F5LsU4y4pfsHmrmJ8l5dVXJHEz1VWbn0SjsDHhET5jcFeSEBdh3UiT%2BzlNst6je%2F3t5vQ6jHcDmfjvsdYc7V6G%2BffSZlH9eRRUaWEwI%2Fs9bfopy1%2FwnlOxhU6q2fiJqutB%2BpjTnsbFM%2F1FIG0GlmGObhJDsch%2BH5vpm1xW4KiTM3BENM7%2FUEuU%2BFyzB4c%2BqDibZBemWfUm0CGC5jEk7l9rNmaAAtFyKFMtMwwxgCwNwClW8FhHYLdXkhoBS30oJ3fGyYvDSVr5j4%2BpyR1A1yvQSGVGsbUX2iW8XYMZ%2FTV4JTdB3ypwBsjjwtcs6j1ERsABMyQfxbLpS3b1q5g9Wq38Uzs%2FrCz7OJbtZmur5iMLMaYTrTFpgx7Z1N5BXNqJ4dQlF0hEwhdDKIKQChDmhGmZ9ak7lJmEAKfIt0xHZz7U9c2p32WHp9%2BcAkeFZWL%2Bn%2BPDtI7t7aj2WKylpnKa8f%2FZsJpekNmLbhxIxNP6a6tFdX9nHPVtjmNlPj%2Fp2eFTcqpHMhYr1U3apD27aVMhfr2Auas58NqJFR84CeArC55OkBcQFHTWsbwASluL2rG7i53iKGlTcqTRhynwBQnBlvsxQ0N2AQipxsAiNiCkC48swo81OMG6igkOReF5FSQ9D8L%2BgyGgY1DsvZcrdfjLn5pvEKuBs8jTqbJzPDLPDKDWQdqypYwsHLaDMVp6AmW69Ou5GvHEIXE2eKBG7oUNfYmL6CB%2BX2%2BH8xyUFqly%2FIRxuzGjq5wumMXoPrMDiaYCbRRNipSN0WY%2BowIIj0Z0WFvu84fuTLql5nYsBzG3UO9mVXe7RWLUKvTdw0lQPOepcYjVGeQr4%2F8SkYIIT0qFt5CNZwd1SvoJACoX2swgyXB8I0WEByVnotr%2FDNa83J9jGoUsASK%2FlAyCiDjEF1oO1aAasiOCTmXfWwi3XFGuQ9F8CPKy99%2FHzyn%2Fa3TcPUzLJCgD5jwlBw%2FOEnqV5ZQ%2FFQFyaxr19yrQmwitMa4UlDnEDIH%2FiUAS4HY16OB4XwzNdIqrW1Inod8sRgXZweqDiJ%2Fh%2FcQRACEH0WuWesi0fwtWH5zPj2gwrqA9Ic1jLRGaC48jE7BKgTzJ%2F2JfLjQjYT%2FSq4GGYcrGWdZpeL6HKJVYuviA75LV3yuNVC6tTz5e32JCvgFVyFTtJwG2AQPIQpppKjlUQ%2BG8kB2PP5mgCVSfSReVhMMYsxpHSV4Stlr2SLAxcPPhNle0jrAeqZcDi%2FvPFDYBYmUjOid4By4MRzFuDcfIqy8mwfVR7ExcseyHlcvcTaSw5NNZaEp9vy0eAcaJtkgW4WmI7ZCTEA%2B01SnWTMUqxMcqyibMBWU3BjlLScIsVCsrR%2FIgBGp2qWHV8R3S0DBKNq3m7eDbKmDWUg5G%2BqHyUnXOK7P3iKXcMcvvh6ddeJsQOwH1ZVGwFHo400MgrxqGersg1QbB3%2BBqSt0%2BP3FHGDFOmSsk7UkzFs0%2FA94qk2Hdfj1nMkawWevHn3GbRYhNdYiVB1%2F%2FHJu5t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<h1 id="divergences.el"><code>Divergences.el</code></h1>
<p><code>Divergences</code> is a Julia package that makes it easy to evaluate the value of divergences and their derivatives. These divergences are used to good effects in the package <a href="http://github.com/gragusa/MomentBasedEstimators.jl/git">MomentBasedEstimators</a>.</p>
<h2 id="definition">Definition</h2>
<p>A divergence between <span class="math inline">\(a\in \mathbb{R}^n\)</span> and <span class="math inline">\(b\in\mathbb{R}^n\)</span> is defined as</p>
<p><span class="math display">\[
D(a,b) = \sum_{i=1}^n \gamma(a_i/b_i) b_i,
\]</span></p>
<p>where for <span class="math inline">\(a_{\gamma}\in\mathbb{R}\)</span>, <span class="math inline">\(a_{\gamma}&lt;0\)</span>, <span class="math inline">\(\gamma:(a_{\gamma},+\infty)\to\mathbb{R}_{+}\)</span>, is strictly convex and twice continuously differentiable on the interior of its domain <span class="math inline">\((a_{gamma}, +\infty)\)</span>. The divergence function is normalized as to satisfy <span class="math inline">\(\gamma(1) = 0\)</span>, <span class="math inline">\(\gamma'(1)=0\)</span>, and <span class="math inline">\(\gamma''(1)=0\)</span>. The normalizations <span class="math inline">\(\gamma(1) = \gamma'(1) = 0\)</span> and <span class="math inline">\(\gamma''(1) = 1\)</span> do not restrict generality, since for any differentiable convex function <span class="math inline">\(\gamma\)</span> there exists another, say <span class="math inline">\(\overline{\gamma}\)</span>, satisfying the normalization.</p>
<p>It is convenient to view <span class="math inline">\(\gamma\)</span> as an extended-real valued function, defined on <span class="math inline">\(\mathbb{R}\)</span> and taking values in <span class="math inline">\([a_{\gamma}, +\infty]\)</span> (see, e.g. p. 23 in Rockafellar, 1970). This means that the convex function <span class="math inline">\(\gamma\)</span> being defined a priori on <span class="math inline">\((a_{\gamma}, +\infty)\)</span> can be extended outside its domain by setting <span class="math inline">\(\gamma(u) = +\infty\)</span> for all <span class="math inline">\(u \in (-\infty, a_{\gamma})\)</span>. As for the boundary value of <span class="math inline">\(a_{\gamma}\)</span>, we let <span class="math inline">\(\gamma(a_{\gamma}) = lim_{u\to a_{\gamma}^+} \gamma(u)\)</span>, knowing that this limit is possibly <span class="math inline">\(\infty\)</span>. This ensures that the extension of <span class="math inline">\(\gamma\)</span> is lower-semicontinuous on <span class="math inline">\(\mathbb{R}\)</span>.</p>
<p>The gradient and the hessian of the divergence with respect to <span class="math inline">\(a\)</span> are given by <span class="math display">\[
\nabla_{a}D(a,b)\equiv\left.\frac{\partial D(u,v)}{\partial u}\right|_{u=a,v=b}=\left(\gamma'(a_{1}/b_{1}),\ldots,\gamma'(a_{n}/b_{n})\right),
\]</span> and <span class="math display">\[
\nabla_{a}^{2}D(a,b)\equiv\left.\frac{\partial^{2}D(u,v)}{\partial
u\partial
u}\right|_{u=a,v=b}=\mathrm{diag}\left(\frac{\gamma''(a_{1}/b_{1})}{b_{1}},\ldots,\frac{\gamma''(a_{n}/b_{n})}{b_{n}}\right),
\]</span> respectively. Given the normalization <span class="math inline">\(\gamma'(1)=0\)</span>, and <span class="math inline">\(\gamma''(1)=1\)</span>, we have that <span class="math display">\[
\nabla_{a}D(a,a) = 0, \quad \nabla^2_{a}D(a,a) = 0.
\]</span></p>
<p>The conjugate of <span class="math inline">\(\gamma\)</span> is defined as <span class="math display">\[
\gamma^*(u) = \sup_{u\in\mathbb{R}} \left\{u\upsilon - \gamma(u)\right\}.
\]</span></p>
<p>The conjugate of the convex extended-real valued function <span class="math inline">\(\gamma\)</span> on , <span class="math inline">\(\gamma^*\)</span>, is itself a convex lower semi-continuous function. Moreover, it follows from the above definition, that <span class="math inline">\(\gamma\)</span> is increasing on <span class="math inline">\(\mathbb{R}\)</span>. Define</p>
<p><span class="math display">\[
d = \lim_{u\to +\infty} \gamma(u)/u.
\]</span></p>
<p>Then <span class="math inline">\(\overline{\mathrm{dom}\gamma^*} = (-\infty, +\infty)\)</span> where <span class="math inline">\(\mathrm{dom}\gamma^* = \{\upsilon \in \mathrm{R}: \gamma^*(\upsilon) &lt; +\infty \}\)</span> is the effective domain of <span class="math inline">\(\gamma^*\)</span>.</p>
<h4 id="modified-divergences">Modified divergences</h4>
<p>For many of the divergences defined above the effective domain of their conjugate, <span class="math inline">\(\gamma^*\)</span>, does not span <span class="math inline">\(\mathbb{R}\)</span> since <span class="math inline">\(\gamma(u)/u \to l &lt; +\infty\)</span> as <span class="math inline">\(u \to +\infty\)</span>.</p>
<p>For some <span class="math inline">\(\vartheta&gt;0\)</span>, let <span class="math inline">\(u_{\vartheta}\equiv 1+\vartheta\)</span>. The modified divergence <span class="math inline">\(\gamma_{\vartheta}\)</span> is defined as <span class="math display">\[
\gamma_{\vartheta}(u) = \begin{cases}
  \gamma(u_{\vartheta}) + \gamma'(u_{\vartheta})(u-u_{\vartheta}) + \frac{1}{2}\gamma''(u_{\vartheta})(u-u_{\vartheta})^2, &amp; u\geqslant u_{\vartheta}\\
  \newline\gamma(u), &amp; u\in (a_{\gamma},u_{\vartheta})\\
  \newline \lim_{u\to 0^{+}} \gamma(u), &amp; u=0 \\
  \newline+\infty, &amp;  u&lt;0
\end{cases}.
\]</span></p>
<p>It is immediate to verify that this divergence still satisfies all the requirements and normalization of <span class="math inline">\(\gamma\)</span>. Furthermore, it holds that <span class="math display">\[
  \lim_{u\to\infty}\frac{\gamma_{\vartheta}(u)}{u} = +\infty,
    \qquad \text{and}\qquad
  \lim_{u\to\infty}\frac{u\gamma'_{\vartheta}(u)}{\gamma_{\vartheta}(u)} = 2.
\]</span></p>
<p>The first limit implies that the image of <span class="math inline">\(\gamma'_{\vartheta}\)</span> is the real line and thus <span class="math inline">\(\overline{\mathrm{dom}\,\gamma^*_{\vartheta}}=(-\infty,+\infty)\)</span>. The expression for the conjugate is obtained by applying the Legendre-Fenchel transform to obtain <span class="math display">\[
\gamma_{\vartheta}^*(u) =
\begin{cases}
  a_{\vartheta}\upsilon^2 + b_{\vartheta}\upsilon + c_{\vartheta}, &amp; \upsilon&gt;\gamma'(u_{\vartheta}),\\
  \newline \gamma^*(\upsilon), &amp; u\leqslant \gamma'(u_{\vartheta})
\end{cases},
\]</span></p>
<p>where <span class="math inline">\(a_{\vartheta} = 1/(2\gamma''(u_{\vartheta}))\)</span>, <span class="math inline">\(b_{\vartheta}=u_{\vartheta} - 2a_{\vartheta}\gamma'(u_{\vartheta})\)</span>, and <span class="math inline">\(c_{\vartheta}=-\gamma(u_{\vartheta}) + a_{\vartheta}\gamma'(u_{\vartheta}) - u_{\vartheta}^2/a_{\vartheta}\)</span>. The conjugate <span class="math inline">\(\gamma_{\vartheta}^*(u)\)</span> will have a closed form expression when so does the original divergence function.</p>
<h4 id="fully-modified-divergences">Fully modified divergences</h4>
<p>For some <span class="math inline">\(\vartheta&gt;0\)</span> and <span class="math inline">\(0 &lt; \varphi &lt; 1-a_{\gamma}\)</span>, let <span class="math inline">\(u_{\vartheta}\equiv 1+\vartheta\)</span> and <span class="math inline">\(u_{\varphi} = a_{\gamma} + \varphi\)</span>. The <strong>fully</strong> modified divergence <span class="math inline">\(\gamma_{\varphi, \vartheta}\)</span> is defined as <span class="math display">\[
\gamma_{\vartheta}(u) = \begin{cases}
  \gamma(u_{\vartheta}) + \gamma'(u_{\vartheta})(u-u_{\vartheta}) + \frac{1}{2}\gamma''(u_{\vartheta})(u-u_{\vartheta})^2, &amp; u\geqslant u_{\vartheta}\\
  \newline\gamma(u), &amp; u\in (u_{\varphi},u_{\vartheta})\\
  \newline    \gamma(u_{\varphi}) + \gamma'(u_{\varphi})(u-u_{\varphi}) + \frac{1}{2}\gamma''(u_{\varphi})(u-u_{\varphi})^2, &amp; u\leqslant u_{\varphi}\\
\end{cases}.
\]</span> It is immediate to verify that this divergence still satisfies all the requirements and normalization of <span class="math inline">\(\gamma\)</span>, while being defined on all <span class="math inline">\(\mathbb{R}\)</span>.</p>
<h2 id="example-of-divergences">Example of divergences</h2>
<p>The following divergence types are defined by <code>Divergences</code>.</p>
<h4 id="kullback-leibler-divergence">Kullback-Leibler divergence</h4>
<p><span class="math display">\[
D^{KL}(a,b) = \sum_{i=1}^n \gamma^{KL}(a_i/b_i) b_i
\]</span></p>
<p><span class="math display">\[
\gamma^{KL}(u) = u\log(u) - u + 1
\]</span></p>
<p>The gradient and the hessian are given by</p>
<p><span class="math display">\[
\nabla_{a}^{2}D^{KL}(a,b) = \left(\log(a_1/b_1),\ldots,\log(a_n,b_n)
\right), \quad \nabla_{a}^{2}D^{KL}(a,b) = \mathrm{diag}(1/a_1, \ldots, 1/a_n)
\]</span></p>
<h4 id="reverse-kullback-leibler-divergence">Reverse Kullback-Leibler divergence</h4>
<p><span class="math display">\[
D^{rKL}(a,b) = \sum_{i=1}^n \gamma^{rKL}(a_i/b_i) b_i
\]</span></p>
<p><span class="math display">\[
\gamma^{rKL}(u) = -\log(u) + u - 1
\]</span></p>
<p>The gradient and the hessian are given by</p>
<p><span class="math display">\[
\nabla_{a}^{2}D^{rKL}(a,b) = \left(1-b_1/a_1,\ldots, 1 - b_n/a_n
\right), \quad \nabla_{a}^{2}D^{rKL}(a,b) = \mathrm{diag}(b_1/a^2_1, \ldots, b_n/a^2_n)
\]</span></p>
<p>For reverse Kullback Leibler divergence, <span class="math inline">\(\gamma(u)=-\log(u)+u-1\)</span>, we have that <span class="math inline">\(\gamma(u)/u \to 0\)</span> as <span class="math inline">\(u\to\infty\)</span>. The modified reverse Kullback Leibler divergence is given by <span class="math display">\[
    \gamma_{\vartheta}(u) =
    \begin{cases}
      -\log(u_{\vartheta}) + (1-\frac{1}{u_{\vartheta}})u+ \frac{1}{2u_{\vartheta}^2}(u-u_{\vartheta})^2, &amp;  u&gt;u_{\vartheta}\\
      \newline -\log(u) + u - 1, &amp;0 &lt; u\leqslant u_{\vartheta}\\
      \newline +\infty, &amp; u\leqslant0.
    \end{cases}.
\]</span></p>
<p>The conjugate of <span class="math inline">\(\gamma_{\theta}\)</span> is given by <span class="math display">\[
    \gamma_{\vartheta}(u) =
    \begin{cases}
      a_{\vartheta}\upsilon^2 + b_{\vartheta}\upsilon + c_{\vartheta}, &amp; \upsilon &gt; 1-\frac{1}{u_{\vartheta}} \\
    \newline -\log(1- \upsilon), &amp; \upsilon \leqslant 1-\frac{1}{u_{\vartheta}},
    \end{cases}
\]</span> where <span class="math inline">\(a_{\vartheta}=u^2_{\vartheta}/2\)</span>, <span class="math inline">\(b_{\vartheta}=u_{\vartheta}(2-u_{\vartheta})\)</span>, and <span class="math inline">\(c_{\vartheta}=\log(u_{\vartheta})-u_{\vartheta}-1+u_{\vartheta}(u_{\vartheta}-1)/2\)</span>.</p>
<h4 id="chi-squared-divergence">Chi-squared divergence</h4>
<p><span class="math display">\[
D^{\chi}(a,b) = \sum_{i=1}^n \gamma^{\chi}(a_i/b_i) b_i
\]</span></p>
<p><span class="math display">\[
\gamma^{\chi}(u) = u^2/2 - u + 0.5
\]</span></p>
<p>The gradient and the hessian are given by</p>
<p><span class="math display">\[
\nabla_{a}^{2}D^{\chi}(a,b) = \left((a_1 - b_1)/b_1^2, \ldots, (a_n - b_n)/b_n^2
\right), \quad \nabla_{a}^{2}D^{\chi}(a,b) =
\mathrm{diag}\left(\frac{1}{b_1^2},\ldots, \frac{1}{b_n^2}\right)
\]</span></p>
<h4 id="cressie-read-divergences">Cressie-Read divergences</h4>
<p>The type <code>CressieRead</code> is a family of divergences. Members of this family are indexed by a function <span class="math inline">\(\gamma\)</span> indexed by parameter <span class="math inline">\(\alpha\)</span>:</p>
<p><span class="math display">\[
\gamma_{\alpha}^{CR}(a,b)=\frac{\left(\frac{a}{b}\right)^{1+\alpha}-1}{\alpha(\alpha+1)}-\frac{\left(\frac{a}{b}\right)-1}{\alpha}.
\]</span></p>
<p>The gradient and the hessian are given by</p>
<p><span class="math display">\[
\nabla_{a}^{2}D^{CR}_{\alpha}(a,b) = \left(
\frac{\left(\frac{a_1}{b_1}\right)^{\alpha }-1}{\alpha  b_1}, \ldots,\frac{\left(\frac{a_n}{b_n}\right)^{\alpha }-1}{\alpha  b_n}
\right), \quad 
\nabla_{a}^{2}D^{CR}_{\alpha}(a,b) = \mathrm{diag}\left(\frac{\left(\frac{a_1}{b_1}\right)^{\alpha }}{a_1 b_1},\ldots,
\frac{\left(\frac{a_n}{b_n}\right)^{\alpha }}{a_n b_n}
\right)
\]</span></p>
<p>The Cressie-Read family contains the chi-squared divergence (<span class="math inline">\(\alpha = 1\)</span>), the Kullback Leibler divergence (<span class="math inline">\(a \to 0\)</span>), the reverse Kullback Leibler divergence (<span class="math inline">\(a \to -1\)</span>), and the Hellinger distance (<span class="math inline">\(a = -1/2\)</span>).</p>
<p>For instance, for the Cressie Read family of divergences defined below, <span class="math display">\[
\lim_{u\to +\infty}\gamma^{CR}_{\alpha}(u)/u = -1/\alpha
\]</span> for all <span class="math inline">\(\alpha\leqslant 0\)</span>. Also, for all <span class="math inline">\(\alpha\leqslant 0\)</span>, the divergence is not convex on <span class="math inline">\((-\infty, 0)\)</span> and thus a fully modified version can be considered.</p>
<h2 id="using-divergences-package">Using <code>Divergences</code> package</h2>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">using Divergences</code></pre></div>
<p>Suppose <span class="math inline">\(a = [0.2, 0.4, 0.4]\)</span> and <span class="math inline">\(b = [0.1, 0.3, 0.6]\)</span>.</p>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">a = [<span class="fl">0.2</span>, <span class="fl">0.4</span>, <span class="fl">0.4</span>]
b = [<span class="fl">0.1</span>, <span class="fl">0.3</span>, <span class="fl">0.6</span>]</code></pre></div>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">evaluate(KullbackLeibler(), a, b)</code></pre></div>
<pre><code>0.0915162218494357</code></pre>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">gradient(KullbackLeibler(), a, b)</code></pre></div>
<pre><code>3-element Array{Float64,1}:
  0.693147
  0.287682
 -0.405465</code></pre>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">hessian(KullbackLeibler(), a, b)</code></pre></div>
<pre><code>3-element Array{Float64,1}:
 50.0    
  8.33333
  4.16667</code></pre>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">evaluate(ReverseKullbackLeibler(), a, b)</code></pre></div>
<pre><code>0.0876597250733698</code></pre>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">gradient(ReverseKullbackLeibler(), a, b)</code></pre></div>
<pre><code>3-element Array{Float64,1}:
  0.5 
  0.25
 -0.5</code></pre>
<div class="sourceCode"><pre class="sourceCode julia"><code class="sourceCode julia">hessian(ReverseKullbackLeibler(), a, b)</code></pre></div>
<pre><code>3-element Array{Float64,1}:
 2.5  
 1.875
 3.75</code></pre>

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